Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795716
Debalina Mollik, Rima Islam, Afrin Binte Anwar, Prodip Kumar Saha Purnendu, Md. Azad Hossen Shanto, Mohiudding Ahmad
With the growth of world communication, wireless communication has become one of the most prominent sectors. The design and simulation result of the 24 GHz (ISM band) antenna has been developed in this article. Many publications have addressed this research and developed antennas utilizing arrays. However, the proposed design provides a novel model of a small size patch antenna that is easier to build and has improved return loss, efficiency, and gain than previous research studies. The recommended patch antenna design is 18mm×2.451mm×0.257mm. The substrate material for this antenna is Roger RT5880 (lossy), which has a permittivity of 2.2. According to the simulation results, this design has a return loss of -28.96 dB, a VSWR (Voltage Standing Wave Ratio) of 1.08497, a gain of 5.152 dB, and an antenna efficiency of 67.026%. The patch antenna is expected to function effectively and may be used for wireless communication based on simulation results.
{"title":"Design of 24 GHz ISM Band Microstrip Patch Antenna for 5G Communication","authors":"Debalina Mollik, Rima Islam, Afrin Binte Anwar, Prodip Kumar Saha Purnendu, Md. Azad Hossen Shanto, Mohiudding Ahmad","doi":"10.1109/iemtronics55184.2022.9795716","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795716","url":null,"abstract":"With the growth of world communication, wireless communication has become one of the most prominent sectors. The design and simulation result of the 24 GHz (ISM band) antenna has been developed in this article. Many publications have addressed this research and developed antennas utilizing arrays. However, the proposed design provides a novel model of a small size patch antenna that is easier to build and has improved return loss, efficiency, and gain than previous research studies. The recommended patch antenna design is 18mm×2.451mm×0.257mm. The substrate material for this antenna is Roger RT5880 (lossy), which has a permittivity of 2.2. According to the simulation results, this design has a return loss of -28.96 dB, a VSWR (Voltage Standing Wave Ratio) of 1.08497, a gain of 5.152 dB, and an antenna efficiency of 67.026%. The patch antenna is expected to function effectively and may be used for wireless communication based on simulation results.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115298790","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795705
N. Fedorova, Aleksander Myrugin, Elena Filushina, Yu. N. Seregin, Dmitrij Eremeev, E. Vaitekunene
This paper examines the theoretical basis for the elaboration of a development strategy for an organization producing household appliances, especially refrigeration equipment. We considered what the strategic management is and what it solves. And also studied the basic principles of strategic management. It has been found that there are two approaches to strategic management that differ in how organizations use their resources. Moreover, during the course of the work, issues related of development the strategic management of the organization were identified. It was found that it is economically beneficial for both the supplier and consumers to carry out domestic assembly of foreign equipment, as this allows manufacturers to significantly reduce customs duties and transportation costs. Thus, in order to develop an organization's development strategy, it is necessary to separate the tools to develop a strategy depending on the place of origin. It has proved necessary to apply a scientific and methodological approach, to identify and analyse the gaps and to develop patterns for selecting strategic alternatives.
{"title":"Theoretical Foundations of the Development Strategy of the Organization for the Production of the Refrigeration Equipment","authors":"N. Fedorova, Aleksander Myrugin, Elena Filushina, Yu. N. Seregin, Dmitrij Eremeev, E. Vaitekunene","doi":"10.1109/iemtronics55184.2022.9795705","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795705","url":null,"abstract":"This paper examines the theoretical basis for the elaboration of a development strategy for an organization producing household appliances, especially refrigeration equipment. We considered what the strategic management is and what it solves. And also studied the basic principles of strategic management. It has been found that there are two approaches to strategic management that differ in how organizations use their resources. Moreover, during the course of the work, issues related of development the strategic management of the organization were identified. It was found that it is economically beneficial for both the supplier and consumers to carry out domestic assembly of foreign equipment, as this allows manufacturers to significantly reduce customs duties and transportation costs. Thus, in order to develop an organization's development strategy, it is necessary to separate the tools to develop a strategy depending on the place of origin. It has proved necessary to apply a scientific and methodological approach, to identify and analyse the gaps and to develop patterns for selecting strategic alternatives.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115635915","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795721
T. Kireev, V. Kukartsev, Alesya Pilipenko, A. Rukosueva, V. Suetin
The paper complied and structured data to construct a correlation model. The reasons for flight delays and cancellations between 2009 from 2019 are examined, based on the statistical electronic source "Bureau of Transportation Statistics". The normalized data are calculated from the primary data. Based on the data collected, a primary histogram was constructed (outliers were not checked). In addition, significant and weak influencing factors have been identified for the constructing of a correlation table, this table helps to identify an additional factor influencing a flight delay or cancellation. Based on the data from the table, a new histogram was built and a correlation table was constructed, allowing regression analysis to be started. At the beginning of the regression analysis, regression statistics are used and an analysis of variance is performed, then the regression analysis is performed directly and the results of the regression are summed up. Based on the summed-up results, a histogram was built, which takes into account all the statistics and calculations, showing the predicted number of delays or cancellations of flights and their actual number.
{"title":"Analysis of the Influence of Factors on Flight Delays in the United States Using the Construction of a Mathematical Model and Regression Analysis","authors":"T. Kireev, V. Kukartsev, Alesya Pilipenko, A. Rukosueva, V. Suetin","doi":"10.1109/iemtronics55184.2022.9795721","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795721","url":null,"abstract":"The paper complied and structured data to construct a correlation model. The reasons for flight delays and cancellations between 2009 from 2019 are examined, based on the statistical electronic source \"Bureau of Transportation Statistics\". The normalized data are calculated from the primary data. Based on the data collected, a primary histogram was constructed (outliers were not checked). In addition, significant and weak influencing factors have been identified for the constructing of a correlation table, this table helps to identify an additional factor influencing a flight delay or cancellation. Based on the data from the table, a new histogram was built and a correlation table was constructed, allowing regression analysis to be started. At the beginning of the regression analysis, regression statistics are used and an analysis of variance is performed, then the regression analysis is performed directly and the results of the regression are summed up. Based on the summed-up results, a histogram was built, which takes into account all the statistics and calculations, showing the predicted number of delays or cancellations of flights and their actual number.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115648528","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795808
Sayed Arfat Alam Quadri, Mohamad Mahdi Baalbaki, Andrew Chacko, M. Iqbal
This paper investigates the system sizing, schema, modeling, and simulation of a 500 MW, grid-connected PV farm at a site close to the Churchill Falls Airport in Labrador. The objective is to understand the PV farm’s technical and economic feasibility. The system is sized manually and with the help of PVWatts. The outputs from this calculation and PVWatts are used to select system components, such as solar panels and MPPT inverters. The plant is divided into four blocks of 125 MW each for ease of maintenance, control, and redundancy for planned and unplanned outages. Pooling transformers, high voltage switchgear, grid transformers, and the export transmission line are sized accordingly. System performance is analyzed using NREL’s System Advisor Model (SAM) software. The grid-connected PV system, with the inverter, is modeled in Simulink (MATLAB) for dynamic simulations. Protection and control scenarios are also modeled in Simulink. The system’s output parameters are then analyzed to understand power output and stability. Finally, recommendations on feasibility and further work are discussed.
{"title":"Design and Simulate a 500 MW Grid-Connected PV Farm for Labrador","authors":"Sayed Arfat Alam Quadri, Mohamad Mahdi Baalbaki, Andrew Chacko, M. Iqbal","doi":"10.1109/iemtronics55184.2022.9795808","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795808","url":null,"abstract":"This paper investigates the system sizing, schema, modeling, and simulation of a 500 MW, grid-connected PV farm at a site close to the Churchill Falls Airport in Labrador. The objective is to understand the PV farm’s technical and economic feasibility. The system is sized manually and with the help of PVWatts. The outputs from this calculation and PVWatts are used to select system components, such as solar panels and MPPT inverters. The plant is divided into four blocks of 125 MW each for ease of maintenance, control, and redundancy for planned and unplanned outages. Pooling transformers, high voltage switchgear, grid transformers, and the export transmission line are sized accordingly. System performance is analyzed using NREL’s System Advisor Model (SAM) software. The grid-connected PV system, with the inverter, is modeled in Simulink (MATLAB) for dynamic simulations. Protection and control scenarios are also modeled in Simulink. The system’s output parameters are then analyzed to understand power output and stability. Finally, recommendations on feasibility and further work are discussed.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116837133","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795755
Shatharajupally Vinaykumar, T. R
The heart is one of the crucial parts of the human being. The graphical recording of the cardiac cycle produced by an Electrocardiograph is called an Electrocardiogram (ECG) signal. To predict the occurrence of an arrhythmia, an electrocardiogram (ECG) is generally used by doctors to identify the condition of the patient. Hence, to accurately detect the abnormalities of the heart in advance and classify those diseases without human involvement many machine learning algorithms are used. The MIT-BIH Arrhythmia database is being used to classify the beat classification performance. This paper presents the hardware implementation of a classifier using an Artificial Neural Network (ANN) to classify four abnormalities (Normal beat, Supraventricular ectopic beat, Ventricular ectopic beat, Fusion beat) of heartbeat with high accuracy. To an appropriate input vector for the classifier, several preprocessing stages have been applied. Discrete Wavelet Transform (DWT) is used to extract the features from the ECG signal. To implement this work, Xilinx Artix-7 NESYS 4 DDR FPGA board is used. This model got 86% testing accuracy in simulation and 85.6% in hardware.
{"title":"FPGA Implementation of Artificial Neural Network (ANN) for ECG Signal Classification","authors":"Shatharajupally Vinaykumar, T. R","doi":"10.1109/iemtronics55184.2022.9795755","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795755","url":null,"abstract":"The heart is one of the crucial parts of the human being. The graphical recording of the cardiac cycle produced by an Electrocardiograph is called an Electrocardiogram (ECG) signal. To predict the occurrence of an arrhythmia, an electrocardiogram (ECG) is generally used by doctors to identify the condition of the patient. Hence, to accurately detect the abnormalities of the heart in advance and classify those diseases without human involvement many machine learning algorithms are used. The MIT-BIH Arrhythmia database is being used to classify the beat classification performance. This paper presents the hardware implementation of a classifier using an Artificial Neural Network (ANN) to classify four abnormalities (Normal beat, Supraventricular ectopic beat, Ventricular ectopic beat, Fusion beat) of heartbeat with high accuracy. To an appropriate input vector for the classifier, several preprocessing stages have been applied. Discrete Wavelet Transform (DWT) is used to extract the features from the ECG signal. To implement this work, Xilinx Artix-7 NESYS 4 DDR FPGA board is used. This model got 86% testing accuracy in simulation and 85.6% in hardware.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125252539","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795831
Arash Safavizadeh, Erfan Mostajeran, S. Ebrahimi, Taleb Vahabzadeh, J. Jatskevich
In power system analysis, sometimes the combined influence of a part of the network is desirable/investigated instead of the dynamics of the individual components therein. For such studies, aggregated models of system components would become beneficial when obtaining the equivalent circuits for the subject part of the network. This paper presents an aggregation method for modeling a cluster of synchronous generators (SGs) connected to a common bus in a power grid. First, it is shown how the so-called transfer matrices can be used for equivalent dynamic modeling of the system components, e.g., SGs with field and damper windings. Then, the transfer matrix-based models of SGs are aggregated to obtain an equivalent dynamic model for the cluster of SGs. The proposed aggregated model of SGs is then validated compared to their full-order qd models using computer simulations. It is verified that the proposed aggregation technique can preserve the dynamic behavior of parallel SGs very accurately for low- and high-frequency electromagnetic oscillations while being computationally more efficient than their classical full-order qd model counterparts.
{"title":"Aggregated Modeling of Synchronous Generators Using Transfer Matrices","authors":"Arash Safavizadeh, Erfan Mostajeran, S. Ebrahimi, Taleb Vahabzadeh, J. Jatskevich","doi":"10.1109/iemtronics55184.2022.9795831","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795831","url":null,"abstract":"In power system analysis, sometimes the combined influence of a part of the network is desirable/investigated instead of the dynamics of the individual components therein. For such studies, aggregated models of system components would become beneficial when obtaining the equivalent circuits for the subject part of the network. This paper presents an aggregation method for modeling a cluster of synchronous generators (SGs) connected to a common bus in a power grid. First, it is shown how the so-called transfer matrices can be used for equivalent dynamic modeling of the system components, e.g., SGs with field and damper windings. Then, the transfer matrix-based models of SGs are aggregated to obtain an equivalent dynamic model for the cluster of SGs. The proposed aggregated model of SGs is then validated compared to their full-order qd models using computer simulations. It is verified that the proposed aggregation technique can preserve the dynamic behavior of parallel SGs very accurately for low- and high-frequency electromagnetic oscillations while being computationally more efficient than their classical full-order qd model counterparts.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122983062","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795777
Evgeniya Semenova, Vadim Tynchenko, Sofya Chashchina, V. Suetin, A. Stashkevich
One of the most popular languages of graphic modeling is Unified Modeling Language (UML). This abstract presents an overview of the language UML. A wide range of diagrams were considered, together with a brief description of their application, the main advantages and disadvantages of the UML language, its object-oriented approach. Strengths (Strengths), Weaknesses (Weaknesses), Capabilities (Opportunities) and Threats (Threats) have been formulated for SWOT analysis. The SWOT-matrix is based on them. A detailed structure of diagram types was presented, dividing the above-mentioned diagrams into structural and behavioral diagrams. Among all the applications of the UML language in more detail considered the possibilities of its use in software engineering, and specifically - in software development. According to the study, it was found that the UML diagram language is one of the best tools.
{"title":"Using UML to Describe the Development of Software Products Using an Object Approach","authors":"Evgeniya Semenova, Vadim Tynchenko, Sofya Chashchina, V. Suetin, A. Stashkevich","doi":"10.1109/iemtronics55184.2022.9795777","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795777","url":null,"abstract":"One of the most popular languages of graphic modeling is Unified Modeling Language (UML). This abstract presents an overview of the language UML. A wide range of diagrams were considered, together with a brief description of their application, the main advantages and disadvantages of the UML language, its object-oriented approach. Strengths (Strengths), Weaknesses (Weaknesses), Capabilities (Opportunities) and Threats (Threats) have been formulated for SWOT analysis. The SWOT-matrix is based on them. A detailed structure of diagram types was presented, dividing the above-mentioned diagrams into structural and behavioral diagrams. Among all the applications of the UML language in more detail considered the possibilities of its use in software engineering, and specifically - in software development. According to the study, it was found that the UML diagram language is one of the best tools.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114425115","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795814
Rajvardhan Patil, Sorio Boit, Nathaniel Bowman
In this work, we derive the semantics of a given English query and convert it into its equivalent SQL query. Instead of using neural networks for semantic analysis of English queries, we opt for a Context Free Grammar approach. Most neural-network-based systems can handle only one semantic at a time, whereas, because of the flexibility offered by our CFG approach, our system manages to handle simultaneous usage of conjunctive, disjunctive, and negative semantics. It also handles complex statements comprising of main as well as dependent clauses. In addition, the system also takes into account aggregate functions and constructs the required GROUP-BY and HAVING clauses. We describe how the system analyzes English queries by understanding the role that each part-of-speech has to play in constructing SQL queries. Numerous examples demonstrate the effectiveness of our approach where state-of-the-art techniques relying on deep learning algorithms fail to deliver.
{"title":"SQL ChatBot – using Context Free Grammar","authors":"Rajvardhan Patil, Sorio Boit, Nathaniel Bowman","doi":"10.1109/iemtronics55184.2022.9795814","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795814","url":null,"abstract":"In this work, we derive the semantics of a given English query and convert it into its equivalent SQL query. Instead of using neural networks for semantic analysis of English queries, we opt for a Context Free Grammar approach. Most neural-network-based systems can handle only one semantic at a time, whereas, because of the flexibility offered by our CFG approach, our system manages to handle simultaneous usage of conjunctive, disjunctive, and negative semantics. It also handles complex statements comprising of main as well as dependent clauses. In addition, the system also takes into account aggregate functions and constructs the required GROUP-BY and HAVING clauses. We describe how the system analyzes English queries by understanding the role that each part-of-speech has to play in constructing SQL queries. Numerous examples demonstrate the effectiveness of our approach where state-of-the-art techniques relying on deep learning algorithms fail to deliver.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129695336","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795821
Madhumita Pal
This paper presents a finite-time consensus for a connected network of heterogeneous unmanned aerial vehicles subjected to wind disturbances. A sliding mode control and graph algebraic theory based strategy is developed for consensus while independent tracking controller ensures robust trajectory following of an agent. Stability of the agents are decoupled from distributed consensus algorithm. Finite time convergence of the measurement vectors of heterogeneous agents to the agreement value are proved. Comparison results with the recent work show the superior performance of the proposed algorithm.
{"title":"A Sliding Mode based Finite-Time Consensus Protocol for Heterogeneous Multi Agent UAS","authors":"Madhumita Pal","doi":"10.1109/iemtronics55184.2022.9795821","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795821","url":null,"abstract":"This paper presents a finite-time consensus for a connected network of heterogeneous unmanned aerial vehicles subjected to wind disturbances. A sliding mode control and graph algebraic theory based strategy is developed for consensus while independent tracking controller ensures robust trajectory following of an agent. Stability of the agents are decoupled from distributed consensus algorithm. Finite time convergence of the measurement vectors of heterogeneous agents to the agreement value are proved. Comparison results with the recent work show the superior performance of the proposed algorithm.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"544 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128969020","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795726
Brett S. Sicard, Naseem Alsadi, P. Spachos, Youssef Ziada, S. Gadsden
To maximize efficiency, quality of products, and profits, it is important to maintain machine tools to reduce downtime and maximize output. Predictive maintenance is the most efficient method of condition monitoring and maintenance. An Internet of Things approach can help implement an autonomous predictive CM system in manufacturing facilities. The critical parameters of sensor selection, communication, and data analysis have been examined. The components that make up an effective IoT CM system have been discussed and analyzed. An IoT approach has been shown to eliminate the disadvantages of traditional manual CM approaches.
{"title":"Predictive Maintenance and Condition Monitoring in Machine Tools: An IoT Approach","authors":"Brett S. Sicard, Naseem Alsadi, P. Spachos, Youssef Ziada, S. Gadsden","doi":"10.1109/iemtronics55184.2022.9795726","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795726","url":null,"abstract":"To maximize efficiency, quality of products, and profits, it is important to maintain machine tools to reduce downtime and maximize output. Predictive maintenance is the most efficient method of condition monitoring and maintenance. An Internet of Things approach can help implement an autonomous predictive CM system in manufacturing facilities. The critical parameters of sensor selection, communication, and data analysis have been examined. The components that make up an effective IoT CM system have been discussed and analyzed. An IoT approach has been shown to eliminate the disadvantages of traditional manual CM approaches.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124151362","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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