Online mechanical fault diagnosis of induction motor by wavelet artificial neural network using stator current

被引：0

作者：

Ye, ZM ^{[1
]}

Wu, B ^{[1
]}

Zargari, N ^{[1
]}

机构：

[1] Ryerson Polytech Inst, Dept Elect Engn, Toronto, ON M5B 2K3, Canada

来源：

IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4: 21ST CENTURY TECHNOLOGIES AND INDUSTRIAL OPPORTUNITIES | 2000年

关键词：

motor current signature analysis; induction motor; wavelet packet decomposition; artificial neural network; fault diagnosis; rotor bar;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel online fault diagnostic method for the mechanical faults of induction motors is proposed. The method is based on artificial neural networks and Wavelet Packet Decomposition. New feature for mechanical fault detection is defined through the signature analysis of the wavelet packet decomposition coefficients of induction motor stator current. The theoretical background and description of the detection algorithm using artificial neural network is presented. Simulation results prove that the proposed method accurately detects the faults for a wide range of load conditions.

引用

页码：1183 / 1188

页数：6

共 14 条

[1]

CHOW M, 1988, IEEE C REC, P706

[2]

CHOW M, 1991, IEEE EC, P536

[3] ON THE APPLICATION AND DESIGN OF ARTIFICIAL NEURAL NETWORKS FOR MOTOR FAULT-DETECTION .1. [J].

CHOW, MY ;

SHARPE, RN ;

HUNG, JC .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1993, 40 (02) :181-188

[4]

CHOW PM, 1988, IEEE C REC, P706

[5]

FILIPPETTI F, 1994, IEEE IND APPLIC SOC, P95, DOI 10.1109/IAS.1994.345493

[6]

FILIPPETTI F, IEEE C REC, P316

[7]

FILLIPPETTI F, 1996, IEEE C RECORD, P289

[8] MULTIPLE COUPLED-CIRCUIT MODELING OF INDUCTION MACHINES [J].

LUO, XG ;

LIAO, YF ;

TOLIYAT, HA ;

ELANTABLY, A ;

LIPO, TA .

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1995, 31 (02) :311-318

[9]

Mallat S., 1997, WAVELET TOUR SIGNAL

[10]

SCHOEN R, IEEE IA, V31, P1280

← 1 2 →