Study on adaptive filtering detection for the rotor bar breaking of 3-phase asynchronous motor

Author

Zhenyu Liu ; Hua Feng

Author_Institution

Coll. of Eng., Shanxi Agric. Univ., Taigu, China

fYear

2011

fDate

15-17 July 2011

Firstpage

5277

Lastpage

5280

Abstract

The number of the bar breaking increases gradually, if we can not detect the bar breaking immediately. It may lead to accidents, and also cause great economic losses when the squirrel cage asynchronous motors have a rotor bar breaking fault. Therefore it is helpful to science organization, arranging maintenance and avoiding the shutdown if we have early detection for the bar breaking. This article studied the adaptive filtering diagnosis of the rotor bar breaking of the squirrel cage asynchronous motors, and carried on the analysis to the LMS adaptive algorithm according to adaptive principle. Finally , it diagnosed and analyzed the rotor bar breaking of the squirrel cage asynchronous motors by the principle of adaptive filtering.

Keywords

adaptive filters; least mean squares methods; rotors; squirrel cage motors; 3-phase asynchronous motor; LMS adaptive algorithm; adaptive filtering detection; economic losses; rotor bar breaking fault; squirrel cage asynchronous motors; Adaptive filters; Educational institutions; Finite impulse response filter; Induction motors; Rotors; Transversal filters; Wavelet transforms; Asynchronous motor; Daptive filter; Detect on-line; Rotor breaking;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5988182

Filename

5988182