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- W2185475896 abstract "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." @default.
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- W2185475896 date "2013-04-01" @default.
- W2185475896 modified "2023-10-18" @default.
- W2185475896 title "Fault Detection (Condition Monitoring) of Induction Motor based on Wavelet Transform" @default.
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- W2185475896 doi "https://doi.org/10.47893/ijeee.2013.1050" @default.
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