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Model-Based Fault Diagnosis in Electric Drive Inverters Using Artificial Neural Network
| 题名： | Model-Based Fault Diagnosis in Electric Drive Inverters Using Artificial Neural Network |
| 作者： | Masrur, Abul;Chen, ZhiHang;Zhang, Baifang;Jia, Hongbin;Murphey, Yi-Lu; |
| 关键词： | DIAGNOSTIC EQUIPMENT, ZDIAGNOSTIC EQUIPMENTZ, INVERTERS, ZINVERTERSZ, DRIVES ELECTRONICS , ZDRIVES ELECTRONICSZ, FAULT DETECTION, ZFAULT DETECTIONZ, ARTIFICIAL INTELLIGENCE, ZARTIFICIAL INTELLIGENCEZ, NEURAL NETS, ZNEURAL NETSZ, CLOSED LOOP SYSTEMS, ZCLOS |
| 摘要： | This paper presents research in model-based fault diagnostics for the power electronics inverter-based induction motor drives. A normal model and various faulted models of the inverter-motor combination were developed, and voltages and current signals were generated from those models to train an artificial neural network for fault diagnosis. Instead of simple open-loop circuits, our research focuses on closed-loop circuits. Our simulation experiments show that this model-based fault diagnostic approach is effective in detecting single switch open-circuit faults as well as post-short-circuit conditions occurring in power electronics inverter-based electrical drives. |
| 总页数： | 7 Pages(s) |
| 报告类型： | 科技报告 |
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