- 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
Hiwase, U. E. and Warkad, S. B.
"Fault Detection (Condition Monitoring) of Induction Motor based on Wavelet Transform,"
International Journal of Electronics and Electical Engineering: Vol. 1
, Article 8.
Available at: https://www.interscience.in/ijeee/vol1/iss4/8