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2017 International Conference on Innovative Research In Electrical Sciences (IICIRES)最新文献

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Diagnosis of bearing fault in induction motor by zero sequence current 零序电流法诊断异步电动机轴承故障
2017 International Conference on Innovative Research In Electrical Sciences (IICIRES) Pub Date : 2017-06-01 DOI: 10.1109/IICIRES.2017.8078300
P. Kripakaran, B. Rami Reddy
{"title":"Diagnosis of bearing fault in induction motor by zero sequence current","authors":"P. Kripakaran, B. Rami Reddy","doi":"10.1109/IICIRES.2017.8078300","DOIUrl":"https://doi.org/10.1109/IICIRES.2017.8078300","url":null,"abstract":"Fault detections are essential for unexpected failures of the electrical motors. Early detection and faults diagnosis leads to effective operations. This paper deals a diagnosis of faults in three phase induction motor by means of zero-sequence stator current spectrum. The simulation and experimental setup are designed under bearing faults. Using finite element method (ANSOFT MAXWELL-2D) the motor are designed to diagnose bearing faults in three phase induction motor. The results are tabulated for 4mm and 2mm for both inner and outer race bearing faults.","PeriodicalId":244063,"journal":{"name":"2017 International Conference on Innovative Research In Electrical Sciences (IICIRES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125493378","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}
引用次数: 6
PLL based grid integration of wind driven three phase induction generator 基于锁相环的风力三相感应发电机电网集成
2017 International Conference on Innovative Research In Electrical Sciences (IICIRES) Pub Date : 2017-06-01 DOI: 10.1109/IICIRES.2017.8078309
T. Sridharan, C. Kalaivani, K. Rajambal
{"title":"PLL based grid integration of wind driven three phase induction generator","authors":"T. Sridharan, C. Kalaivani, K. Rajambal","doi":"10.1109/IICIRES.2017.8078309","DOIUrl":"https://doi.org/10.1109/IICIRES.2017.8078309","url":null,"abstract":"This paper aims at developing a Phase Locked Loop (PLL) based grid integration of wind driven three phase induction (3PIG) generator. The dynamic model of wind driven induction generator along necessary power converters is evolved in Matlab/Simulink. The system functionality is analyzed for different wind velocities. The synchronous reference frame PLL (dq/SRF PLL) synchronizes the grid and the system. The PLL response for various grid conditions are analyzed and the simulation results are presented.","PeriodicalId":244063,"journal":{"name":"2017 International Conference on Innovative Research In Electrical Sciences (IICIRES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116043787","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}
引用次数: 0
Comparison of feed forward and cascade neural network for harmonic current estimation in power electronic converter 前馈与级联神经网络在电力电子变换器谐波电流估计中的比较
2017 International Conference on Innovative Research In Electrical Sciences (IICIRES) Pub Date : 2017-06-01 DOI: 10.1109/IICIRES.2017.8078295
A. Venkadesan, G. Bhavana, D. Haneesha, K. Sedhuraman
{"title":"Comparison of feed forward and cascade neural network for harmonic current estimation in power electronic converter","authors":"A. Venkadesan, G. Bhavana, D. Haneesha, K. Sedhuraman","doi":"10.1109/IICIRES.2017.8078295","DOIUrl":"https://doi.org/10.1109/IICIRES.2017.8078295","url":null,"abstract":"This paper presents harmonic current estimation using neural network for a power electronic converter. Three types of popular neural architectures namely single hidden layered Feedforward architecture, multi hidden layered Feedforward neural architecture, cascade architecture are considered for investigation. The non-linear load namely diode bridge uncontrolled rectifier with resistive inductive (RL) load is chosen for study. All the three architectures are trained and tested using MATLAB simulation. The performance of three types of neural architectures is compared in terms of accuracy and complexity for harmonic current estimation. The suitable neural architecture is identified for harmonic current estimation. The results obtained are presented.","PeriodicalId":244063,"journal":{"name":"2017 International Conference on Innovative Research In Electrical Sciences (IICIRES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115072956","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}
引用次数: 5
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