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Hindi Journal of Electrical Engineering and Electronic TechnologyISSN: 2325-9833
Markus Timusk Author
Subjects of specialization
Affiliation
Fault detection, Induction machine, Wavelet transform
935 Ramsey Lake Rd, Bharti School on engineering, Laurentian University, Sudbury, ON P3E 2C6, Canada
Biography
Markus Timusk was working in the 935 Ramsey Lake Rd, Bharti School on engineering, Laurentian University, Sudbury, ON P3E 2C6, Canada. Doctor has more than 40 publications. Doctor's current research area related to Wavelet transform.
Publications
Research Article Open Access
A Novel Parallel Modelling-Wavelet Based Mechanical Fault Detection Using Stator Current Signature of Induction Machine under Variable Load Conditions
Author(s): S. Mahdi Mousavi S, Aida Mollaeian, Narayan. C. Kar, and Markus Timusk
Induction Machine (IM) fault detection techniques such as Fast Fourier Transform (FFT) which is a popular steady-state analysis method is recognized to be highly dependent on the IM loading and speed conditions. Nonetheless, implementing an FFT or even Short Time Fourier Transform (STFT) will result in low resolution frequency characteristics especially under a variable speed and loading conditions. Consequently, fault detection and classification under variable loading and speed conditions is quite inconvenient. Since, mechanical faults are one of the major breakdowns, which occur in IMs, it needs to be add... view more»
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