Pub Date : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619445
M. Miranda, M. Chetan, Nichol Samarth Dsouza, N. P. Chetan
This paper proposes the design and simulation of a two-phase Interleaved Boost convertor (IBC) using a PID controller for fuel cell systems. The main objective of the proposed DC-DC boost converter is to maintain a constant output voltage despite variations in supply (fuel cell system) voltage and input current. The working of the two-phase IBC has been discussed and the simulation is done via MATLAB Simulink. The PID controller has been discussed in brief and the system's stability analysis is carried out through the method of root locus. Using the PID controller, the output voltage of the two-phase interleaved boost converter is controlled and the waveforms are analyzed.
{"title":"Robust Voltage Control of Two-Phase Interleaved Boost Converter for Fuel Cell Systems","authors":"M. Miranda, M. Chetan, Nichol Samarth Dsouza, N. P. Chetan","doi":"10.1109/ETI4.051663.2021.9619445","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619445","url":null,"abstract":"This paper proposes the design and simulation of a two-phase Interleaved Boost convertor (IBC) using a PID controller for fuel cell systems. The main objective of the proposed DC-DC boost converter is to maintain a constant output voltage despite variations in supply (fuel cell system) voltage and input current. The working of the two-phase IBC has been discussed and the simulation is done via MATLAB Simulink. The PID controller has been discussed in brief and the system's stability analysis is carried out through the method of root locus. Using the PID controller, the output voltage of the two-phase interleaved boost converter is controlled and the waveforms are analyzed.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127485146","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619421
Hareba Omar Mohamed Omar, S. B. Goyal, Vijayakumar Varadarajan
Fog computing is an extended concept of cloud computing or edge computing. It was introduced to reduces the overhead and existing issues of cloud such as latency, wastage of resources, mobility support, etc. As fog computing is decentralized architecture to process incoming network traffic. With increasing traffic, there is an increase in network threats. To handle such threats, Intrusion Detection Systems (IDSs) provide secure network traffic flow. Due to the limitation of resources over the fog network, it is required to design lightweight IDS. In this paper, to provide efficient detection of incoming network traffic, a deep learning technique is proposed and implemented with a sliding window that identifies the attacks over network. The result analysis was performed by in-creasing the window size and showed up its efficiency with other existing techniques. The result was evaluated over the NSL-KDD dataset. The testing scenario was performed over multi-classification of data packets. The highest accuracy of approx. 99% was achieved over the NSL-KDD dataset.
{"title":"Application of Sliding Window Deep Learning for Intrusion Detection in Fog Computing","authors":"Hareba Omar Mohamed Omar, S. B. Goyal, Vijayakumar Varadarajan","doi":"10.1109/ETI4.051663.2021.9619421","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619421","url":null,"abstract":"Fog computing is an extended concept of cloud computing or edge computing. It was introduced to reduces the overhead and existing issues of cloud such as latency, wastage of resources, mobility support, etc. As fog computing is decentralized architecture to process incoming network traffic. With increasing traffic, there is an increase in network threats. To handle such threats, Intrusion Detection Systems (IDSs) provide secure network traffic flow. Due to the limitation of resources over the fog network, it is required to design lightweight IDS. In this paper, to provide efficient detection of incoming network traffic, a deep learning technique is proposed and implemented with a sliding window that identifies the attacks over network. The result analysis was performed by in-creasing the window size and showed up its efficiency with other existing techniques. The result was evaluated over the NSL-KDD dataset. The testing scenario was performed over multi-classification of data packets. The highest accuracy of approx. 99% was achieved over the NSL-KDD dataset.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123346111","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619265
Deepak Singh
In video coding, the block matching based motion estimation (BMME) schemes by exploiting the uni-modal error surface is quite popular for easy implementation. Though, many real-world video sequences exhibit multiple local minima within the block search window. This research article proposes a pattern based modified particle swarm optimization approach for motion estimation (PMPSO-ME). The population-based evolutionary method; PSO ensures the global optimum solution and avoids trapping into local minima.The proposed technique is analyzed on JM 18.6 reference software of H.264/AVC platform. The proposed technique is evaluated for compared with the state-of-the-art approaches in terms of number of search points, encoding time complexity, Bjontegaard metrics etc.
{"title":"Improved Block Matching Motion Estimation Technique using Modified Particle Swarm Optimization in Video Coding","authors":"Deepak Singh","doi":"10.1109/ETI4.051663.2021.9619265","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619265","url":null,"abstract":"In video coding, the block matching based motion estimation (BMME) schemes by exploiting the uni-modal error surface is quite popular for easy implementation. Though, many real-world video sequences exhibit multiple local minima within the block search window. This research article proposes a pattern based modified particle swarm optimization approach for motion estimation (PMPSO-ME). The population-based evolutionary method; PSO ensures the global optimum solution and avoids trapping into local minima.The proposed technique is analyzed on JM 18.6 reference software of H.264/AVC platform. The proposed technique is evaluated for compared with the state-of-the-art approaches in terms of number of search points, encoding time complexity, Bjontegaard metrics etc.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132422344","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619293
Alkomaisi Randa Muftah Ali, S. B. Goyal, Vijayakumar Varadarajan
Sentiment analysis is termed as recognition of emotions extracted from textual features and termed as one of the prominent part of opinion mining. The existing deep learning approach had showed good performance. But, to improve this performance level, a hybrid framework is proposed by combining lexicon features as well as deep aspect features with application of autoencoders in order to solve the limitations of earlier methods. Evaluating and testing of the designed framework flexibility for multiple domains. For the performance evaluation of proposed model, IMDB dataset is used. The simulation is performed on MATLAB platform and this proposed hybrid lexicon and deep aspect level feature extraction model represents better results as compared to other existing works.
{"title":"Aspect Level Sentiment Analysis using Stacked Auto Encoder with Random Forest","authors":"Alkomaisi Randa Muftah Ali, S. B. Goyal, Vijayakumar Varadarajan","doi":"10.1109/ETI4.051663.2021.9619293","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619293","url":null,"abstract":"Sentiment analysis is termed as recognition of emotions extracted from textual features and termed as one of the prominent part of opinion mining. The existing deep learning approach had showed good performance. But, to improve this performance level, a hybrid framework is proposed by combining lexicon features as well as deep aspect features with application of autoencoders in order to solve the limitations of earlier methods. Evaluating and testing of the designed framework flexibility for multiple domains. For the performance evaluation of proposed model, IMDB dataset is used. The simulation is performed on MATLAB platform and this proposed hybrid lexicon and deep aspect level feature extraction model represents better results as compared to other existing works.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132810243","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619306
M. H. Sree Reddy, N. Susheela, P. Malathy
A three-phase enhanced H-bridge multi-level inverter topology with reduced number of switches and voltage sources is implemented in this paper for thirteen-level and seventeen-level. The algorithm of sinusoidal tracking is employed for enhanced H-bridge multilevel inverter to acquire the output voltage with minimum THD. This is achieved by calculating the switching time for various switches that are employed in this topology. An analysis is made for induction motor drive using this algorithm for thirteen-level and seventeen-level multi-level inverters using MATLAB/SIMULINK. The benefits of this technique compared to the conventional techniques include less number of switches and simple control.
{"title":"Sinusoidal Tracking Method for Cascaded Multilevel Inverter fed Induction Motor Drive","authors":"M. H. Sree Reddy, N. Susheela, P. Malathy","doi":"10.1109/ETI4.051663.2021.9619306","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619306","url":null,"abstract":"A three-phase enhanced H-bridge multi-level inverter topology with reduced number of switches and voltage sources is implemented in this paper for thirteen-level and seventeen-level. The algorithm of sinusoidal tracking is employed for enhanced H-bridge multilevel inverter to acquire the output voltage with minimum THD. This is achieved by calculating the switching time for various switches that are employed in this topology. An analysis is made for induction motor drive using this algorithm for thirteen-level and seventeen-level multi-level inverters using MATLAB/SIMULINK. The benefits of this technique compared to the conventional techniques include less number of switches and simple control.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115090862","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619291
S. Rambabu, N. Rao, M. Ramakotaiah, J. Raju, J. Venumurali
The Industry 4.0 concept refers to the integration of the smart manufacturing systems with the developed information technologies such as machine learning, internet of things (IoT), big data, augmented reality, additive manufacturing/3D printing, and cyber security technologies. This paper presents the potential vulnerabilities and their affects on the additive manufacturing systems at various stages including design phase, manufacturing phase, post-processing and testing phase. It was found that the malicious modification of 3D CAD file, .STL file, toolpath or G-code file affects on the quality and functional performance of the additive manufactured parts by means of introducing the internal voids, modify the external surface geometry, or alter the printer firmware to change the laser power intensity, scanning strategy, and layer thickness. Furthermore, the side-channel leakage of information from the vibration, acoustic, thermal, magnetic and power emissions data could be used to reconstruct the original product design and manufacturing conditions. Finally, the paper concludes the importance of cybersecurity of additive manufacturing systems in order to achieve the desired quality and productivity.
{"title":"Security Vulnerabilities Affecting on Addititve Manufacturing Systems in the Era of Industry 4.0: An Extensive Review","authors":"S. Rambabu, N. Rao, M. Ramakotaiah, J. Raju, J. Venumurali","doi":"10.1109/ETI4.051663.2021.9619291","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619291","url":null,"abstract":"The Industry 4.0 concept refers to the integration of the smart manufacturing systems with the developed information technologies such as machine learning, internet of things (IoT), big data, augmented reality, additive manufacturing/3D printing, and cyber security technologies. This paper presents the potential vulnerabilities and their affects on the additive manufacturing systems at various stages including design phase, manufacturing phase, post-processing and testing phase. It was found that the malicious modification of 3D CAD file, .STL file, toolpath or G-code file affects on the quality and functional performance of the additive manufactured parts by means of introducing the internal voids, modify the external surface geometry, or alter the printer firmware to change the laser power intensity, scanning strategy, and layer thickness. Furthermore, the side-channel leakage of information from the vibration, acoustic, thermal, magnetic and power emissions data could be used to reconstruct the original product design and manufacturing conditions. Finally, the paper concludes the importance of cybersecurity of additive manufacturing systems in order to achieve the desired quality and productivity.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122067295","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}
In the past, scientist and researchers are studying to understand the variation in human brain activities when hearing different kinds of music. This paper aims to elicit the correlation of genre of music heard with the brain waves. Electroencephalographic(EEG) studies show that Alpha waves are seen when the brain is at resting state, Beta waves appear when the brain is in a state of consciousness and doing everyday activities, Delta waves appear when the brain is in a state of a deep sleep, Theta waves appear when the brain is in sleep or deep meditation and vivid dreams arise and Gamma waves are associated with enlightenment on a spiritual level and deeper levels of self-awareness. With the analysis of which stimulus provokes the transmission of which particular wave, it’ll be easier to prescribe a specific type of music to relieve stress, anxiety or enhance mood or even help in better concentration while performing a task. Various fields of therapeutic medicine can utilize this compiled data to treat mental disorders.
{"title":"Effect of Different Genres of Music on Brain Waves","authors":"Vani Suthamathi Saravanarajan, Rung-Ching Chen, N. Saravanarajan, Ming-Zheng Liu, Cheng-Yun Lin, Long-Sheng Chen","doi":"10.1109/ETI4.051663.2021.9619270","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619270","url":null,"abstract":"In the past, scientist and researchers are studying to understand the variation in human brain activities when hearing different kinds of music. This paper aims to elicit the correlation of genre of music heard with the brain waves. Electroencephalographic(EEG) studies show that Alpha waves are seen when the brain is at resting state, Beta waves appear when the brain is in a state of consciousness and doing everyday activities, Delta waves appear when the brain is in a state of a deep sleep, Theta waves appear when the brain is in sleep or deep meditation and vivid dreams arise and Gamma waves are associated with enlightenment on a spiritual level and deeper levels of self-awareness. With the analysis of which stimulus provokes the transmission of which particular wave, it’ll be easier to prescribe a specific type of music to relieve stress, anxiety or enhance mood or even help in better concentration while performing a task. Various fields of therapeutic medicine can utilize this compiled data to treat mental disorders.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126138336","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619244
C.H. Rao Kamesh, R. Patel, L. Sahu, Yugal Kishor, A. H. Chander, Akhilesh Kumar Tiwari
Integration of energy systems profoundly depends on power electronics interface (PEI), which is used to integrate more than one energy sources with different V-I characteristics. The different energy sources are effectively utilized with suitable topology of PEI. This paper represents, a new topology for non-isolated multiple input DC/DC converter. The proposed converter is designed for providing different voltage levels at the output. The input source used are of different levels to operate the converter at voltage mismatched conditions, which is very common problem observed during integration of different energy systems. The input sources are isolated with a coupling capacitor. It is operated in boost mode of operation. Steady state analysis of the proposed converter along with simulation study using MATLAB/Simulink has been presented.
{"title":"A Novel Non-Isolated Multiple Input DC/DC Boost Converter Topology","authors":"C.H. Rao Kamesh, R. Patel, L. Sahu, Yugal Kishor, A. H. Chander, Akhilesh Kumar Tiwari","doi":"10.1109/ETI4.051663.2021.9619244","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619244","url":null,"abstract":"Integration of energy systems profoundly depends on power electronics interface (PEI), which is used to integrate more than one energy sources with different V-I characteristics. The different energy sources are effectively utilized with suitable topology of PEI. This paper represents, a new topology for non-isolated multiple input DC/DC converter. The proposed converter is designed for providing different voltage levels at the output. The input source used are of different levels to operate the converter at voltage mismatched conditions, which is very common problem observed during integration of different energy systems. The input sources are isolated with a coupling capacitor. It is operated in boost mode of operation. Steady state analysis of the proposed converter along with simulation study using MATLAB/Simulink has been presented.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127468010","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619285
I. A. Quadri, Varsha Aggarwal, S. Bhowmick, R. D. Patidar
Reactive power management with distribution automation has proved to be revolutionary measures for distribution network operators (DNOs) and planners to facilitate improvement in technical, commercial and environmental aspects of distribution network (DN) operation in the real time scenario. A comprehensive teaching learning based optimization (CTLBO) algorithm has been employed in this work for reactive power sources allocation for reactive power management in the IEEE 69-bus radial distribution systems (RDS), with 24-hour practical load profiles. This paper demonstrates the simultaneous allocation of the capacitor and static VAr compensator (SVC) to reduce the operational cost of the distribution network. The effectiveness of the proposed work has been established in terms of network loss reduction, voltage profile improvement and cost saving.
配电自动化的无功功率管理已被证明是配电网络运营商（DNO）和规划者的革命性措施，可促进实时配电网络（DN）运行在技术、商业和环境方面的改善。在这项工作中，采用了一种基于教学的综合优化（CTLBO）算法，在 IEEE 69 总线径向配电系统（RDS）中分配无功功率源，以实现 24 小时实际负荷曲线的无功功率管理。本文展示了如何同时分配电容器和静态 VAr 补偿器 (SVC)，以降低配电网络的运营成本。从减少网络损耗、改善电压曲线和节约成本的角度，证明了所建议工作的有效性。
{"title":"Optimal Allocation of Capacitor and SVC in Radial Distribution System to Reduce Power Loss and Operational Cost","authors":"I. A. Quadri, Varsha Aggarwal, S. Bhowmick, R. D. Patidar","doi":"10.1109/ETI4.051663.2021.9619285","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619285","url":null,"abstract":"Reactive power management with distribution automation has proved to be revolutionary measures for distribution network operators (DNOs) and planners to facilitate improvement in technical, commercial and environmental aspects of distribution network (DN) operation in the real time scenario. A comprehensive teaching learning based optimization (CTLBO) algorithm has been employed in this work for reactive power sources allocation for reactive power management in the IEEE 69-bus radial distribution systems (RDS), with 24-hour practical load profiles. This paper demonstrates the simultaneous allocation of the capacitor and static VAr compensator (SVC) to reduce the operational cost of the distribution network. The effectiveness of the proposed work has been established in terms of network loss reduction, voltage profile improvement and cost saving.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129536410","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 : 2021-05-19DOI: 10.1109/ETI4.051663.2021.9619341
Marupuru Vinod, D. Kishan, N. H., R. Kannan
Wireless power transfer (WPT) can find the potential applications reaching from power transfer to low power appliances to high power electric vehicle battery charging and industrial systems applications. Inductive power pads are the key components for magnetic induction based WPT systems. Hence, this paper labels the analysis of magnetic coupling characteristics of spiral square inductive pads with various misalignments. In this process the inductive power pads are designed in FEM simulation. The modelling approach is presented to calculate the coupling coefficient, self and mutual inductance of spiral square inductive pads of WPT system and also presented the power and efficiency analysis of the system.
{"title":"Design of Spiral Square Inductive Power Pads with Misalignment for Wireless Power Transfer System","authors":"Marupuru Vinod, D. Kishan, N. H., R. Kannan","doi":"10.1109/ETI4.051663.2021.9619341","DOIUrl":"https://doi.org/10.1109/ETI4.051663.2021.9619341","url":null,"abstract":"Wireless power transfer (WPT) can find the potential applications reaching from power transfer to low power appliances to high power electric vehicle battery charging and industrial systems applications. Inductive power pads are the key components for magnetic induction based WPT systems. Hence, this paper labels the analysis of magnetic coupling characteristics of spiral square inductive pads with various misalignments. In this process the inductive power pads are designed in FEM simulation. The modelling approach is presented to calculate the coupling coefficient, self and mutual inductance of spiral square inductive pads of WPT system and also presented the power and efficiency analysis of the system.","PeriodicalId":129682,"journal":{"name":"2021 Emerging Trends in Industry 4.0 (ETI 4.0)","volume":"1994 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127319332","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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