Title :
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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988182
