Experimental validation of doubly fed induction machine electrical faults diagnosis under time-varying conditions

被引：43

作者：

Gritli, Yasser ^{[1
,2
]}

Stefani, Andrea ^{[1
]}

Rossi, Claudio ^{[1
]}

Filippetti, Fiorenzo ^{[1
]}

Chatti, Abderrazak ^{[2
]}

机构：

[1] Univ Bologna, Dept Elect Engn, Bologna, Italy

[2] Natl Inst Appl Sci & Technol, Tunis, Tunisia

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2011年 / 81卷 / 03期

关键词：

Doubly fed induction machine; Time-varying conditions; Frequency sliding; Wavelet transforms; WAVELET TRANSFORM; GENERATORS; FAILURES;

D O I：

10.1016/j.epsr.2010.11.004

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 investigates a new diagnosis technique for incipient electrical faults in doubly fed induction machine for wind power systems under time-varying conditions. The proposed method is based on currents frequency sliding pre-processing, and discrete wavelet transform thereby. The mean power calculation of wavelet signals, at different resolution levels, is introduced as a dynamic fault indicator for quantifying the fault extents. The approach effectiveness is proved for both stator and rotor faults under speed and fault varying conditions. Simulation and experimental results show the validity of the developed method, leading to an effective diagnosis procedure for stator and rotor faults in doubly fed induction machines. (C) 2010 Published by Elsevier B.V.

引用

页码：751 / 766

页数：16

共 31 条

[21] The use of the wavelet approximation signal as a tool for the diagnosis of rotor bar failures [J].