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Experimental Investigation in Induction Motors Using Signal Processing Techniques For Early Detection of Inter-Turn Short Circuit Faults by rofiafcb is a document available to read on EtoBox.

This paper investigates advanced signal processing techniques for early detection of inter-turn short circuit faults in induction motors. It compares methods such as power spectral density estimation and the Hilbert transform combined with discrete wavelet transform to analyze stator current and identify fault indicators. The study demonstrates the effectiveness of these techniques using experimental data from induction motors.

Author

rofiafcb

Language

EN