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

页码：2148 / 2153

页数：6

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