Fault Detection Using ANN for Three-level NPC Inverter fed Induction Motor Drive

被引：0
|
作者：
Lee, Hong Hee [1 ]
Phan Quoc Dzung [2 ]
Truong Phuoc Hoa [2 ]
Le Minh Phuong [2 ]
Nguyen Xuan Bac [2 ]
机构：
[1] Univ Ulsan, Sch Elect Engn, Ulsan 680749, South Korea
[2] HCMC Univ Technol, Fac Elect & Elect Engn, Ho Chi Minh City, Vietnam
来源：
TENCON 2010: 2010 IEEE REGION 10 CONFERENCE | 2010年
关键词：
Pulse-Width-Modulation; Artificial Neural Network; Three-level NPC Inverter; diagnosis; open circuit fault; short circuit fault; VOLTAGE-FED INVERTER; STRATEGY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper is to present the investigation of ANN for fault detection Three-level Neutral Point Clamped (NPC) Inverter fed induction motor drive. Such detection requires only motor currents and DC-link current to be measured for detecting and identifying the power switch in which the open circuit fault or short circuit fault has occurred. Furthermore, a diagnosis controller using ANN for real-time fault detection of power switches is suggested. A computer simulation program is developed using Matlab/Simulink together with the Neural Network Toolbox for training the ANN-controller. This method has been validated experimentally using kit ACE 1104 (DSPACE).
引用
收藏
页码：2148 / 2153
页数：6
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