Pub Date : 2023-06-07DOI: 10.2174/2352096516666230607153524
K. Quzwain, Haifa Nabila, R. Anwar, A. Ismail
In the recent years, the development in communication system has grown rapidly, especially for the growth of broadband wireless technologies. This technology has some advantages, for instance, flexibility for the transmission of data with very high data rate communications. Antenna is one of the crucial components of broadband wireless systems because it has ability to emit and receive radio waves. There are various types of antennas and microstrip is one of the most popular designs nowadays. This antenna has some advantages and disadvantages. Low gain is known as one of the disadvantages of microstrip antenna. However, there are numerous methods which can be used to enhance gain. Some researches have been done by numerous researchers throughout the world in tackling this disadvantage. This paper presents a critical review of different methods employed to alleviate this problem. For ease of understanding, this paper is classified into five approaches: array configuration approaches, air substrate approaches, metamaterial approaches, yagi-uda approaches, and other approaches.
{"title":"A Critical Review of Gain Enhancement Methods for Microstrip Antenna","authors":"K. Quzwain, Haifa Nabila, R. Anwar, A. Ismail","doi":"10.2174/2352096516666230607153524","DOIUrl":"https://doi.org/10.2174/2352096516666230607153524","url":null,"abstract":"\u0000\u0000In the recent years, the development in communication system has grown rapidly, especially for the growth of broadband wireless technologies. This technology has some advantages, for instance, flexibility for the transmission of data with very high data rate communications. Antenna is one of the crucial components of broadband wireless systems because it has ability to emit and receive radio waves. There are various types of antennas and microstrip is one of the most popular designs nowadays. This antenna has some advantages and disadvantages. Low gain is known as one of the disadvantages of microstrip antenna. However, there are numerous methods which can be used to enhance gain. Some researches have been done by numerous researchers throughout the world in tackling this disadvantage. This paper presents a critical review of different methods employed to alleviate this problem. For ease of understanding, this paper is classified into five approaches: array configuration approaches, air substrate approaches, metamaterial approaches, yagi-uda approaches, and other approaches.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"54 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80058113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-07DOI: 10.2174/2352096516666230607104537
Vikash Yadav, Amrita Jyoti, Ayushi Prakash, Sonu Kumar Jha, M. Rahul
The last several years have seen a significant increase in interest in big data across a range of scientific and engineering fields. Despite having several benefits and applications, big data still has some difficulties that must be overcome for a higher level of service, such as big data analytics, big data management, and big data privacy and security. Big data services and apps stand to greatly benefit from blockchain decentralisation and security features. In this article, we present an overview of blockchain for big data with an emphasis on current methods, possibilities, and upcoming trends. We begin by providing a succinct explanation of big data, blockchain, and the purpose of their integration. After that, we look at different types of blockchain assistance for big data, such as blockchain for security in big data collection, data privacy protection, storage, and collection. Next, we examine the latest work on the utilization of blockchain applications for big data across different industries, including smart grid apps and applications, smart city applications, and smart healthcare applications. A few illustrative blockchain-big data initiatives are given and discussed for a good understanding. Finally, difficulties and potential directions are examined to advance research in an exciting field.
{"title":"Blockchain for Big Data: Approaches, Opportunities and Future Directions","authors":"Vikash Yadav, Amrita Jyoti, Ayushi Prakash, Sonu Kumar Jha, M. Rahul","doi":"10.2174/2352096516666230607104537","DOIUrl":"https://doi.org/10.2174/2352096516666230607104537","url":null,"abstract":"\u0000\u0000The last several years have seen a significant increase in interest in big data across a range of scientific and engineering fields. Despite having several benefits and applications, big data still has some difficulties that must be overcome for a higher level of service, such as big data analytics, big data management, and big data privacy and security. Big data services and apps stand to greatly benefit from blockchain decentralisation and security features. In this article, we present an overview of blockchain for big data with an emphasis on current methods, possibilities, and upcoming trends. We begin by providing a succinct explanation of big data, blockchain, and the purpose of their integration. After that, we look at different types of blockchain assistance for big data, such as blockchain for security in big data collection, data privacy protection, storage, and collection. Next, we examine the latest work on the utilization of blockchain applications for big data across different industries, including smart grid apps and applications, smart city applications, and smart healthcare applications. A few illustrative blockchain-big data initiatives are given and discussed for a good understanding. Finally, difficulties and potential directions are examined to advance research in an exciting field.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"54 3","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72484787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.2174/2352096516666230606103013
S. P, Dhandapani Samiappan, M. K, Nissyjoseph, Roshan M
Across many countries, wind turbine generation systems (WTGS) have been established over the past few decades. In this paper, we augment the low voltage ride-through (LVRT) enrichment facility of driving a DFIG-based wind energy conversion system (WECS) using space vector pulse width modulation (SVPWM)-based inverter control. The proposed technique employs an SVPWM-based control algorithm to regulate the voltage and frequency of the output power during grid faults, thereby enhancing the WECS's ability to remain connected to the grid and provide power. The study focuses on decreasing transient current throughout the instant of fault. Modeling and control approaches were also discussed in this study. The performance of the proposed technique is evaluated using MATLAB/Simulink simulations, and the results demonstrate that the technique effectively improves the LVRT capability of the DFIG-based WECS. Due to the variation in wind speed, the power generated by wind turbines is inconsistent. The power generated and the losses in wind turbines change correspondingly with changes in wind speed. The only type of machine that can generate power at speeds below the fixed speed is the doubly-fed induction generator (DFIG). But DFIG is oversensitive to network faults, which makes the bidirectional converters and DC link capacitor fail due to high inrush current and over-voltage. The converters connected to DFIG consist of an AC-to-DC converter, a boost converter, and a space vector pulse width modulation (SVPWM)-based DC-AC converter. The performance of the SVPWM controller is analyzed during symmetrical and unsymmetrical fault conditions. The anticipated control provides adequate reactive power support to the network through the time of the fault and improves voltage and current waveform. The reactive power flow is also analyzed, and the effectiveness of the proposed controller is verified using MATLAB and Simulink. SVPWM (Space Vector Pulse Width Modulation)-based inverter control is an effective technique for wind energy conversion systems (WECS). The use of SVPWM can provide accurate and precise control of the AC voltage generated from the DC voltage source, resulting in improved system efficiency and reduced harmonic distortion in the output waveform. The comparative analysis of THD suggests that SVPWM is a superior technique compared to other inverter control techniques such as sine-triangle pulse width modulation (SPWM) and carrier-based pulse width modulation (CPWM). SVPWM can help to reduce the distortion in the output waveform, leading to improved system efficiency, reduced wear on the system components, and overall better performance of the WECS. Furthermore, SVPWM offers several advantages over other inverter control techniques, including better utilization of DC voltage, improved voltage control, and better utilization of switching devices. These advantages make SVPWM a valuable tool for optimizing the operation of WECS and improving
{"title":"LVRT Enhancement of DFIG-based WECS using SVPWM-based Inverter Control","authors":"S. P, Dhandapani Samiappan, M. K, Nissyjoseph, Roshan M","doi":"10.2174/2352096516666230606103013","DOIUrl":"https://doi.org/10.2174/2352096516666230606103013","url":null,"abstract":"\u0000\u0000Across many countries, wind turbine generation systems (WTGS) have been established over the past few decades. In this paper, we augment the low voltage ride-through (LVRT) enrichment facility of driving a DFIG-based wind energy conversion system (WECS) using space vector pulse width modulation (SVPWM)-based inverter control. The proposed technique employs an SVPWM-based control algorithm to regulate the voltage and frequency of the output power during grid faults, thereby enhancing the WECS's ability to remain connected to the grid and provide power. The study focuses on decreasing transient current throughout the instant of fault. Modeling and control approaches were also discussed in this study. The performance of the proposed technique is evaluated using MATLAB/Simulink simulations, and the results demonstrate that the technique effectively improves the LVRT capability of the DFIG-based WECS.\u0000\u0000\u0000\u0000Due to the variation in wind speed, the power generated by wind turbines is inconsistent. The power generated and the losses in wind turbines change correspondingly with changes in wind speed. The only type of machine that can generate power at speeds below the fixed speed is the doubly-fed induction generator (DFIG). But DFIG is oversensitive to network faults, which makes the bidirectional converters and DC link capacitor fail due to high inrush current and over-voltage.\u0000\u0000\u0000\u0000The converters connected to DFIG consist of an AC-to-DC converter, a boost converter, and a space vector pulse width modulation (SVPWM)-based DC-AC converter. The performance of the SVPWM controller is analyzed during symmetrical and unsymmetrical fault conditions.\u0000\u0000\u0000\u0000The anticipated control provides adequate reactive power support to the network through the time of the fault and improves voltage and current waveform. The reactive power flow is also analyzed, and the effectiveness of the proposed controller is verified using MATLAB and Simulink.\u0000\u0000\u0000\u0000SVPWM (Space Vector Pulse Width Modulation)-based inverter control is an effective technique for wind energy conversion systems (WECS). The use of SVPWM can provide accurate and precise control of the AC voltage generated from the DC voltage source, resulting in improved system efficiency and reduced harmonic distortion in the output waveform.\u0000The comparative analysis of THD suggests that SVPWM is a superior technique compared to other inverter control techniques such as sine-triangle pulse width modulation (SPWM) and carrier-based pulse width modulation (CPWM). SVPWM can help to reduce the distortion in the output waveform, leading to improved system efficiency, reduced wear on the system components, and overall better performance of the WECS.\u0000Furthermore, SVPWM offers several advantages over other inverter control techniques, including better utilization of DC voltage, improved voltage control, and better utilization of switching devices. These advantages make SVPWM a valuable tool for optimizing the operation of WECS and improving","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"81 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73676163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-05DOI: 10.2174/2352096516666230605150903
Jixin Yang, Zhengwang Xu, Jin Zhu, Jiarui Zhang, Shikang Shen
A series sixfold-circuit “phase-hopping” AC-AC frequency converter (SSCPH-AAFC) is an extension of traditional AC-AC frequency converters. Compared to traditional frequency converters, it has the advantages of energy-saving, low cost, and simple control. Additionally, it can increase the upper limit of the frequency conversion to the power frequency. Through multiplexing processing, it reduces the harmonic content of the output waveform, making it suitable for applications, such as large-capacity fan or pump speed control. Although SSCPH-AAFC reduces harmonic content, the harmonic content of the single-phase and three-phase grid-side currents still reach 14.65% and 10.20%, respectively. To meet national standards for practical application, a compensation circuit needs to be designed to further reduce grid-side current harmonics. To address harmonic problems, a targeted single-phase current open-loop compensation method was designed based on the analysis of the current waveform defect. The method compensated for harmonics by selecting appropriate trigger angles and reducing the harmonic distortion rate of the power grid to meet the necessary application standards. The method was simulated and analyzed using MATLAB, and the results showed that after single-phase open-loop compensation, the total harmonic distortion (THD) of the grid-side current for a single-phase SSCPH-AAFC was 2.64%, and for a three-phase SSCPH-AAFC, it was 1.80%. This method has a good effect and can meet the standard requirements.
{"title":"Analysis of Harmonic Compensation for Grid-Side Current of Series Sixfold-Circuit “Phase-Hopping” AC-AC Frequency Converter","authors":"Jixin Yang, Zhengwang Xu, Jin Zhu, Jiarui Zhang, Shikang Shen","doi":"10.2174/2352096516666230605150903","DOIUrl":"https://doi.org/10.2174/2352096516666230605150903","url":null,"abstract":"\u0000\u0000A series sixfold-circuit “phase-hopping” AC-AC frequency converter (SSCPH-AAFC) is an extension of traditional AC-AC frequency converters. Compared to traditional frequency converters, it has the advantages of energy-saving, low cost, and simple control. Additionally, it can increase the upper limit of the frequency conversion to the power frequency. Through multiplexing processing, it reduces the harmonic content of the output waveform, making it suitable for applications, such as large-capacity fan or pump speed control.\u0000\u0000\u0000\u0000Although SSCPH-AAFC reduces harmonic content, the harmonic content of the single-phase and three-phase grid-side currents still reach 14.65% and 10.20%, respectively. To meet national standards for practical application, a compensation circuit needs to be designed to further reduce grid-side current harmonics.\u0000\u0000\u0000\u0000To address harmonic problems, a targeted single-phase current open-loop compensation method was designed based on the analysis of the current waveform defect. The method compensated for harmonics by selecting appropriate trigger angles and reducing the harmonic distortion rate of the power grid to meet the necessary application standards.\u0000\u0000\u0000\u0000The method was simulated and analyzed using MATLAB, and the results showed that after single-phase open-loop compensation, the total harmonic distortion (THD) of the grid-side current for a single-phase SSCPH-AAFC was 2.64%, and for a three-phase SSCPH-AAFC, it was 1.80%.\u0000\u0000\u0000\u0000This method has a good effect and can meet the standard requirements.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"50 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83771609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.2174/2352096516666230519114514
Khettache Laid, Djarah Djalal, Zidani Ghania, A. Rachid
In this study, a new model of linear induction motor, along with the impact of end-effect on motor performance, is proposed. Moreover, a new strategy of control approach based on the polynomial RST controller is suggested and investigated. The proposed approach can provide a robust control strategy and overcome the limitations imposed by the proportional-integral (PI) regulator in the FOC technique. RST controller has a two-degree of freedom structure and consists of three polynomials, namely R, S and T, which are determined by the pole placement method and resolving of a Diophantine equation. Despite this, the implementation of this method is usually difficult and becomes more complicated with the complexity of the controlled plants. This study proposes the genetic algorithm (GA) optimization strategy for tuning RST controller parameters (adjust the controller coefficients) in order to achieve an adequate response time by minimizing the different objective functions, such as steady-state error, settling time, and rise time. The accuracy and control performance of the proposed technique are checked and validated using Matlab /Simulink environment software tool. Simulation results reported that the proposed method (RST-GA) could provide robust solutions with perfect reference tracking and efficient disturbance rejection. These significant results make the proposed approach a promising technique for the design of a high-performance controller, which is highly suitable for industrial and electrical applications.
{"title":"Optimization of RST Controller for Speed Control of Linear Induction Motor Using Genetic Algorithm","authors":"Khettache Laid, Djarah Djalal, Zidani Ghania, A. Rachid","doi":"10.2174/2352096516666230519114514","DOIUrl":"https://doi.org/10.2174/2352096516666230519114514","url":null,"abstract":"\u0000\u0000In this study, a new model of linear induction motor, along with the impact of end-effect on motor performance, is proposed. Moreover, a new strategy of control approach based on the polynomial RST controller is suggested and investigated.\u0000\u0000\u0000\u0000The proposed approach can provide a robust control strategy and overcome the limitations imposed by the proportional-integral (PI) regulator in the FOC technique. RST controller has a two-degree of freedom structure and consists of three polynomials, namely R, S and T, which are determined by the pole placement method and resolving of a Diophantine equation. Despite this, the implementation of this method is usually difficult and becomes more complicated with the complexity of the controlled plants.\u0000\u0000\u0000\u0000This study proposes the genetic algorithm (GA) optimization strategy for tuning RST controller parameters (adjust the controller coefficients) in order to achieve an adequate response time by minimizing the different objective functions, such as steady-state error, settling time, and rise time.\u0000\u0000\u0000\u0000The accuracy and control performance of the proposed technique are checked and validated using Matlab /Simulink environment software tool. Simulation results reported that the proposed method (RST-GA) could provide robust solutions with perfect reference tracking and efficient disturbance rejection.\u0000\u0000\u0000\u0000These significant results make the proposed approach a promising technique for the design of a high-performance controller, which is highly suitable for industrial and electrical applications.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"22 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77859036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-17DOI: 10.2174/2352096516666230517105239
S. Pragaspathy, R. Kannan, V. Karthikeyan, K. K. Sagar, S. Saravanan, M. Ganesh
A typical microgrid network sourced by renewable energy encounters a technical setback owing to the voltage imbalance across the source integration and load power dissemination. Transformers employed to stabilize the potential may deteriorate the network efficiency and increases the cost and size of the system as well. Photovoltaic based transformerless high gain DC-DC converter (THG-DC) is proposed here to aid the microgrid infrastructure. Microgrid fuelled by renewable energy sources demands the high gain converter interface to boost low voltage generation. The proposed THG-DC is employed with four switched inductors and three active power switches (IGBT) which are brought together under dual leg configurations. The proposed topology offers dual-duty cycle modes of regulating the active switches to realize the desired output voltage. Moreover, it is reliable to drive the proposed THG-DC with lower values of duty cycles to achieve a higher gain. The voltage stress across the switches is minimized and the magnitude of inductor current ripples is quashed to an extent. The proposed THG-DC is simple in architecture and easy to control in all three operating modes. The operating characteristics and performance investigation of the novel converter during the continuous and discontinuous modes are elucidated briefly and the comparative analysis on switching stress, gain, and efficiency are executed to justify the standards of the proposed THG-DC. Finally, the miniature prototype model is experimented with in the laboratory (0.3 kW) and the obtained results are in agreement with the theory. It is evident from the investigations that the proposed THG-DC shows its dominance over other converters on the voltage gain, switching stress, number of components, and overall efficiency.
{"title":"A Photovoltaic-Based Novel Transformerless High Gain Converter for DC Microgrid Applications","authors":"S. Pragaspathy, R. Kannan, V. Karthikeyan, K. K. Sagar, S. Saravanan, M. Ganesh","doi":"10.2174/2352096516666230517105239","DOIUrl":"https://doi.org/10.2174/2352096516666230517105239","url":null,"abstract":"\u0000\u0000A typical microgrid network sourced by renewable energy encounters a technical setback owing to the voltage imbalance across the source integration and load power dissemination. Transformers employed to stabilize the potential may deteriorate the network efficiency and increases the cost and size of the system as well.\u0000\u0000\u0000\u0000Photovoltaic based transformerless high gain DC-DC converter (THG-DC) is proposed here to aid the microgrid infrastructure. Microgrid fuelled by renewable energy sources demands the high gain converter interface to boost low voltage generation. The proposed THG-DC is employed with four switched inductors and three active power switches (IGBT) which are brought together under dual leg configurations.\u0000\u0000\u0000\u0000The proposed topology offers dual-duty cycle modes of regulating the active switches to realize the desired output voltage. Moreover, it is reliable to drive the proposed THG-DC with lower values of duty cycles to achieve a higher gain. The voltage stress across the switches is minimized and the magnitude of inductor current ripples is quashed to an extent. The proposed THG-DC is simple in architecture and easy to control in all three operating modes.\u0000\u0000\u0000\u0000The operating characteristics and performance investigation of the novel converter during the continuous and discontinuous modes are elucidated briefly and the comparative analysis on switching stress, gain, and efficiency are executed to justify the standards of the proposed THG-DC.\u0000\u0000\u0000\u0000Finally, the miniature prototype model is experimented with in the laboratory (0.3 kW) and the obtained results are in agreement with the theory. It is evident from the investigations that the proposed THG-DC shows its dominance over other converters on the voltage gain, switching stress, number of components, and overall efficiency.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"22 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85160981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-17DOI: 10.2174/2352096516666230517095542
Chuanming Sun, Guangning Wu, Dongli Xin, Kai Liu, B. Gao, Guoqiang Gao
This paper proposes a defect identification method for vehicle-mounted cable terminals in electric multiple units (EMUs) based on the improved Graham angle field and residual network to address the issue of low recognition accuracy caused by the lack of partial discharge (PD) and identification data for Ethylene Propylene Rubber (EPR) cable terminal defects. The improved Gramian angular field (IGAF) characteristic transformation method was used to transform the PD one-dimensional time-series signal into a two-dimensional one after cable terminals with four common insulation defects were constructed, and a PD detection platform was built. Finally, an anti-aliasing downsampling module and attention mechanism were added to the residual network ResNet101 model. The Center loss and Softmax loss functions were integrated to increase accuracy for training and recognition classification. Topological feature images improved the distinguishability of defect categories. The test results showed that the diagnostic method has an accuracy rate of 97.3% for identifying PD at the cable terminal. The proposed diagnosis model has higher recognition accuracy and better balance than other conventional fault diagnosis methods, making it suitable for diagnosing high-voltage cable faults in EMU trains.
{"title":"Defect Identification Method of Cable Termination Based on Improved Gramian Angular Field and ResNet","authors":"Chuanming Sun, Guangning Wu, Dongli Xin, Kai Liu, B. Gao, Guoqiang Gao","doi":"10.2174/2352096516666230517095542","DOIUrl":"https://doi.org/10.2174/2352096516666230517095542","url":null,"abstract":"\u0000\u0000This paper proposes a defect identification method for vehicle-mounted cable terminals in electric multiple units (EMUs) based on the improved Graham angle field and residual network to address the issue of low recognition accuracy caused by the lack of partial discharge (PD) and identification data for Ethylene Propylene Rubber (EPR) cable terminal defects.\u0000\u0000\u0000\u0000The improved Gramian angular field (IGAF) characteristic transformation method was used to transform the PD one-dimensional time-series signal into a two-dimensional one after cable terminals with four common insulation defects were constructed, and a PD detection platform was built. Finally, an anti-aliasing downsampling module and attention mechanism were added to the residual network ResNet101 model. The Center loss and Softmax loss functions were integrated to increase accuracy for training and recognition classification. Topological feature images improved the distinguishability of defect categories.\u0000\u0000\u0000\u0000The test results showed that the diagnostic method has an accuracy rate of 97.3% for identifying PD at the cable terminal.\u0000\u0000\u0000\u0000The proposed diagnosis model has higher recognition accuracy and better balance than other conventional fault diagnosis methods, making it suitable for diagnosing high-voltage cable faults in EMU trains.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"43 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82534171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-17DOI: 10.2174/2352096516666230517155221
Anurag Mishra, Ashish Sharma
we propose a tool that can automatically generate datasets for software defect prediction from GitHub repositories DevOps is a software development approach that emphasizes collaboration, communication, and automation in order to improve the speed and quality of software delivery This study aims to demonstrate the effectiveness of the tool, and in order to do so, a series of experiments were conducted on several popular GitHub repositories and compared the performance of our generated datasets with existing datasets. The tool works by analyzing the commit history of a given repository and extracting relevant features that can be used to predict defects. These features include code complexity metrics, code churn, and the number of developers involved in a particular code change. Our results show that the datasets generated by our tool are comparable in quality to existing datasets and can be used to train effective software defect prediction models Overall, the proposed tool provides a convenient and effective way to generate high-quality datasets for software defect prediction, which can significantly improve the accuracy and reliability of prediction models.
{"title":"Improved DevOps Lifecycle by Integrating \u0000a Novel Tool V-Git Lab","authors":"Anurag Mishra, Ashish Sharma","doi":"10.2174/2352096516666230517155221","DOIUrl":"https://doi.org/10.2174/2352096516666230517155221","url":null,"abstract":"\u0000\u0000we propose a tool that can automatically generate datasets for software defect prediction from GitHub repositories\u0000\u0000\u0000\u0000DevOps is a software development approach that emphasizes collaboration, communication, and automation in order to improve the speed and quality of software delivery\u0000\u0000\u0000\u0000This study aims to demonstrate the effectiveness of the tool, and in order to do so, a series of experiments were conducted on several popular GitHub repositories and compared the performance of our generated datasets with existing datasets.\u0000\u0000\u0000\u0000The tool works by analyzing the commit history of a given repository and extracting relevant features that can be used to predict defects. These features include code complexity metrics, code churn, and the number of developers involved in a particular code change.\u0000\u0000\u0000\u0000Our results show that the datasets generated by our tool are comparable in quality to existing datasets and can be used to train effective software defect prediction models\u0000\u0000\u0000\u0000Overall, the proposed tool provides a convenient and effective way to generate high-quality datasets for software defect prediction, which can significantly improve the accuracy and reliability of prediction models.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"41 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87523852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-12DOI: 10.2174/2352096516666230427103110
M. Vesali, Hosein Ranjbar, Mostafa Rabiei
This paper proposes a new soft-switching flyback converter with a simple structure and high efficiency. The proposed converter has zero current switching conditions for the turning-on distance and zero voltage switching conditions for the turning-off distance of the switch. With a minimum number of elements, a soft switching condition is created for all semiconductor devices, and high efficiency is obtained. To create the ZCS condition, an inductor is used, and when the switch is turned on, the current due to the existence of this inductor increases slowly. But when the switch is turned off, this inductor has an energy that suddenly discharge on the switch, which is then controlled by a capacitor and discharged in capacitor. Then when the energy is discharge in capacitor, this capacitor is connected to the switch, which increases the voltage of the switch slowly and ZVS condition is stablished. Also the energy of leakage inductance in this state is discharged in that same capacitor which eliminates destructive effect of this inductor. A prototype of the proposed converter is implemented and tested in 60 W power. The experimental results verified theoretical analysis and shown that soft switching condition is established. Also 92% efficiency at full load is obtained, which shows the efficiency has increased. The current of the diodes in experimental results shows that when the diodes are turned off, ZCS condition is created, therefore reverse recovery problem of the diodes does not exist. Therefore, the proposed converter has high efficiency and simple structure, which is suitable to convert AC voltage to DC voltage for the devices power supply.
{"title":"A New Soft-switched Flyback Converter with a Minimum Number of\u0000Elements and High Efficiency","authors":"M. Vesali, Hosein Ranjbar, Mostafa Rabiei","doi":"10.2174/2352096516666230427103110","DOIUrl":"https://doi.org/10.2174/2352096516666230427103110","url":null,"abstract":"\u0000\u0000This paper proposes a new soft-switching flyback converter with a simple structure and high efficiency. The proposed converter has zero current switching conditions for the turning-on distance and zero voltage switching conditions for the turning-off distance of the switch.\u0000\u0000\u0000\u0000With a minimum number of elements, a soft switching condition is created for all semiconductor devices, and high efficiency is obtained.\u0000\u0000\u0000\u0000To create the ZCS condition, an inductor is used, and when the switch is turned on, the current due to the existence of this inductor increases slowly. But when the switch is turned off, this inductor has an energy that suddenly discharge on the switch, which is then controlled by a capacitor and discharged in capacitor. Then when the energy is discharge in capacitor, this capacitor is connected to the switch, which increases the voltage of the switch slowly and ZVS condition is stablished. Also the energy of leakage inductance in this state is discharged in that same capacitor which eliminates destructive effect of this inductor.\u0000\u0000\u0000\u0000A prototype of the proposed converter is implemented and tested in 60 W power. The experimental results verified theoretical analysis and shown that soft switching condition is established. Also 92% efficiency at full load is obtained, which shows the efficiency has increased. The current of the diodes in experimental results shows that when the diodes are turned off, ZCS condition is created, therefore reverse recovery problem of the diodes does not exist.\u0000\u0000\u0000\u0000Therefore, the proposed converter has high efficiency and simple structure, which is suitable to convert AC voltage to DC voltage for the devices power supply.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"59 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87611232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-12DOI: 10.2174/2352096516666230512145824
A. Kale, Usman Kadri, Jayesh Kamble, Makarand Thorat, Pallippattu Vijayan, K. Badgujar, P. Kharade
The control system of the vehicle regulates parameters like fuel flow control, vehicle speed control, tracking, etc The main objective of the paper is to monitor and determine an efficient, and automated control system for an H-CNG-powered vehicle. Using neural networks and machine learning, we would develop an algorithm for the controller to regulate the speed of the car with the help of variables involved during the runtime of the vehicle. Initially, Generating a dataset with the help of formulation and computation for training. Further, analysing different supervised machine learning algorithms and training the Artificial Neural Network (ANN) using the generated dataset to predict and track the gains of the H-CNG vehicle accurately. Analysis of the gains of the H-CNG vehicle are presented to understand the precision of the trained Neural Network. The final verdict of the paper is that the Neural Network is successful in tracking the gains of the H-CNG vehicle with the help of the dataset presented for training using the Random Forest Regression technique for machine learning.
{"title":"Part Two: Neural Network Controller for Hydrogen-CNG Powered Vehicle","authors":"A. Kale, Usman Kadri, Jayesh Kamble, Makarand Thorat, Pallippattu Vijayan, K. Badgujar, P. Kharade","doi":"10.2174/2352096516666230512145824","DOIUrl":"https://doi.org/10.2174/2352096516666230512145824","url":null,"abstract":"\u0000\u0000The control system of the vehicle regulates parameters like fuel flow control, vehicle speed control, tracking, etc\u0000\u0000\u0000\u0000The main objective of the paper is to monitor and determine an efficient, and automated control system for an H-CNG-powered vehicle. Using neural networks and machine learning, we would develop an algorithm for the controller to regulate the speed of the car with the help of variables involved during the runtime of the vehicle.\u0000\u0000\u0000\u0000Initially, Generating a dataset with the help of formulation and computation for training. Further, analysing different supervised machine learning algorithms and training the Artificial Neural Network (ANN) using the generated dataset to predict and track the gains of the H-CNG vehicle accurately.\u0000\u0000\u0000\u0000Analysis of the gains of the H-CNG vehicle are presented to understand the precision of the trained Neural Network.\u0000\u0000\u0000\u0000The final verdict of the paper is that the Neural Network is successful in tracking the gains of the H-CNG vehicle with the help of the dataset presented for training using the Random Forest Regression technique for machine learning.\u0000","PeriodicalId":43275,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering","volume":"356 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76500193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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