DocumentCode :
468485
Title :
On-line methods to detect broken rotor bars in squirrel cage asynchronous motors
Author :
Boqiang, Xu ; Yanling, Chu ; Liling, Sun ; Junzhong, Sun
Author_Institution :
North China Electr. Power Univ., Baoding
fYear :
2007
fDate :
8-11 Oct. 2007
Firstpage :
1107
Lastpage :
1111
Abstract :
Rotor bar breaking is one of the frequent faults of the squirrel cage asynchronous motors. The spectrum analysis of the stator current, which is based on Fast Fourier Transform, is widely utilized to detect the fault on-line. The self-adaptive filter approach, the Park transform approach, the Hilbert transform approach and the instantaneous power approach are usually adopted. The theoretical principles and the experimental results of these methods are given in this paper, at the same time, by thoroughly analyzing experiment results, a series of interesting highlights to guarantee the sensitivity and reliability of the detection scheme for detecting broken rotor bar fault have been revealed explicitly. Furthermore, this paper reviews the four approaches, analyzes their advantages and deficiencies. Based on that, this paper also discusses the researching pivots in the future.
Keywords :
Hilbert transforms; adaptive filters; condition monitoring; fast Fourier transforms; signal processing; squirrel cage motors; Hilbert transform; Park transform; broken rotor bar detection; fast Fourier transform; instantaneous power approach; self-adaptive filter; spectrum analysis; squirrel cage asynchronous motors; stator current; Adaptive filters; Bars; Fast Fourier transforms; Fault detection; Frequency; Rotors; Signal to noise ratio; Stators; Sun; Underwater vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2
Type :
conf
Filename :
4411976
Link To Document :
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