Article

Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet Transform

Ecole Nat. Polytech., Algiers, Algeria
IEEE Transactions on Industrial Electronics (impact factor: 5.16). 10/2011; DOI:10.1109/TIE.2010.2095391 pp.4385 - 4395
Source: IEEE Xplore

ABSTRACT This paper deals with fault diagnosis of induction machines based on the discrete wavelet transform. By using the wavelet decomposition, the information on the health of a system can be extracted from a signal over a wide range of frequencies. This analysis is performed in both time and frequency domains. The Daubechies wavelet is selected for the analysis of the stator current. Wavelet components appear to be useful for detecting different electrical faults. In this paper, we will study the problem of broken rotor bars, end-ring segment, and loss of stator phase during operation.

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Keywords

Daubechies wavelet
 
detecting different electrical faults
 
discrete wavelet
 
end-ring segment
 
frequency domains
 
induction machines
 
paper deals
 
rotor bars
 
stator current
 
useful
 
Wavelet components
 
wavelet decomposition