DocumentCode
1901524
Title
Optimal wavelets for broken rotor bars fault diagnosis
Author
Pu Shi ; Zheng Chen ; Vagapov, Yuriy ; Zouaoui, Zoubir
Author_Institution
Eng. Dept., Glyndwr Univ., Wrexham, UK
fYear
2013
fDate
27-30 Aug. 2013
Firstpage
49
Lastpage
56
Abstract
This paper discusses the use of an optimal wavelets approach for broken rotor bars diagnosis. In this paper, discrete wavelet coefficients (DWT) of stator current in a specific frequency band are derived and analyzed. Wavelets db8, db9, db10, sym7 and sym8 are compared to select a most optimal one. This approach facilitates the detection and diagnosis of broken rotor bar occurrence or even number of broken bars under load variation. Simulation and experimental tests on inductions motors with 1, 2, and 3 broken bars are conducted, which demonstrate the effective fault detection of the proposed approach.
Keywords
discrete wavelet transforms; fault diagnosis; frequency-domain analysis; induction motors; DWT; broken rotor bar detection; broken rotor bars fault diagnosis; discrete wavelet coefficients; inductions motors; load variation; optimal wavelets approach; stator current; Bars; Discrete wavelet transforms; Harmonic analysis; Induction motors; Rotors; Stators; Wavelet analysis; Broken Rotor Bars; Induction Machine; Wavelets;
fLanguage
English
Publisher
ieee
Conference_Titel
Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
Conference_Location
Valencia
Type
conf
DOI
10.1109/DEMPED.2013.6645696
Filename
6645696
Link To Document