VFD fed Induction Motor Fault Detection using Drive's data and Harmonic Wavelet Transform

2020 ◽  
Author(s):  
Mohamed Ali Hmida ◽  
Ahmed Braham
Keyword(s):  
Wavelet Transform ◽  
Fault Detection ◽  
Induction Motor ◽  
Harmonic Wavelet

scholarly journals Fault Detection (Condition Monitoring) of Induction Motor based on Wavelet Transform

2013 ◽  
pp. 268-271
Author(s):  
U. E. Hiwase ◽  
S. B. Warkad
Keyword(s):  
Wavelet Transform ◽  
Steady State ◽  
Fault Detection ◽  
Induction Motor ◽  
Condition Monitoring ◽  
Discrete Wavelet ◽  
Steady State Analysis ◽  
Motor Current ◽  
Current Signatures ◽  
Vector Approach

Presently, many condition monitoring techniques that are based on steady-state analysis are being applied to Induction motor. However, the operation of induction motor is predominantly transient, therefore prompting the development of non-stationary techniques for fault detection. In this paper we apply steady-state techniques e.g. Motor Current Signatures Analysis (MCSA) and the Extended Park’s Vector Approach (EPVA), as well as a new transient technique that is a combination of the EPVA, the Discrete Wavelet Transform and statistics, to the detection of turn faults in a induction motor. It will be shown that steady-state techniques are not effective when applied to induction motor operating under transient.

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