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This paper deals with the brush loose contact analysis in AC traction locomotive, monitoring the input current of the traction transformer using multi-resolution analysis based statistical parameter monitoring technique. Firstly, a system has been developed in software platform and current input to the traction transformer has been recorded for both normal and for different chosen brush loose contact percentages in the traction motor. The recorded current has been assessed using multi-resolution analysis of discrete Wavelet transform algorithm, wherein the approximate and detailed coefficient Skewness, Kurtosis and RMS value assessment has been done. Depending on the feature extraction and analysis with the statistical coefficients, best fit level and parameter monitoring has been done. An algorithm has been proposed at the end for effective brush loose contact analysis in the system.
Inspec keywords: electric machine analysis computing; traction motors; statistical analysis; discrete wavelet transforms; electric locomotives; feature extraction
Subjects: Other topics in statistics; d.c. machines; Transportation; Integral transforms; Integral transforms; Power engineering computing; Other topics in statistics; a.c. machines