A fuzzy-based approach for the diagnosis of fault modes in a voltage-fed PWM inverter induction motor drive

被引：304

作者：

Zidani, Fatiha ^{[1
]}

Diallo, Demba ^{[2
]}

Benbouzid, Mohamed El Hachemi ^{[3
]}

Nait-Said, Rachid ^{[1
]}

机构：

[1] Univ Batna, Batna 05000, Algeria

[2] Univ Paris 11, Univ Paris 06, CNRS UMR 8507, F-91192 Gif Sur Yvette, France

[3] Univ Western Brittany, Lab Ingn Mecan & Elect, F-29239 Brest 3, France

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2008年 / 55卷 / 02期

关键词：

concordia transform; diagnosis; fault detection; fuzzy logic; induction motor; voltage source inverter (VSI);

D O I：

10.1109/TIE.2007.911951

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

This paper investigates the use of fuzzy logic for fault detection and diagnosis in a pulsewidth modulation voltage source inverter (PWM-VSI) induction motor drive. The proposed fuzzy technique requires the measurement of the output inverter currents to detect intermittent loss of firing pulses in the inverter power switches. For diagnosis purposes, a localization domain made with seven patterns is built with the stator Concordia current vector. One is dedicated to the healthy domain and the six others to each inverter power switch. The fuzzy bases of the proposed technique are extracted from the current analysis of the fault modes in the PWM-VSI. Experimental results on a 1.5-kW induction motor drive are presented to demonstrate the effectiveness of the proposed fuzzy approach.

引用

页码：586 / 593

页数：8

共 27 条

[1]

ABRAMIK S, 2003, P EPE TOUL FRANC

[2]

[Anonymous], 1997, Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection

[3]

Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines [J].