DocumentCode
2318019
Title
The application of zoom FFT technique to the extraction of fault character of induction motor
Author
Ma, Hongzhong ; Xu, Qun ; Song, Jingang ; Han, Jingdong
Author_Institution
Hohai Univ., Nanjing
fYear
2008
fDate
21-24 April 2008
Firstpage
221
Lastpage
225
Abstract
Because the fault character signal frequency is very close to fundamental wave frequency during the analysis of induction motor rotor winding fault based on the frequency of stator current, though in practical application, there is only signal spectrum in very small frequency range need to be taken into account, high resolution is demanded in the range, therefore the traditional base-band FFT is difficult to analyze the fault character component of induction motor rotor winding effectively. In this paper, the application of zoom FFT to identify the fault character signal of motor is discussed, the fundamental principle of zoom FFT based on multiple modulations and its application method is analyzed. Simulation calculation and practical engineering test have indicated that zoom FFT technique based on multiple modulations can identify the nice frequency structure of a certain band and extract the character signal in stator current under induction motor rotor winding fault effectively.
Keywords
fast Fourier transforms; fault diagnosis; induction motors; rotors; stators; fault character extraction; fault character signal; frequency structure; induction motor; multiple modulations; rotor winding fault; stator current; zoom FFT technique; Energy resolution; Fault diagnosis; Frequency; Induction motors; Rotors; Signal analysis; Signal processing; Signal resolution; Stator windings; Transducers; Zoom FFT analysis; character frequency signal; fault diagnosis; induction motor;
fLanguage
English
Publisher
ieee
Conference_Titel
Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1621-9
Electronic_ISBN
978-1-4244-1622-6
Type
conf
DOI
10.1109/CMD.2008.4580267
Filename
4580267
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