Brush Fault Analysis for Indian DC Traction Locomotive Using DWT-Based Multi-resolution Analysis

This paper deals with the brush fault analysis in an Indian DC traction locomotive, monitoring the rectifier input current to the traction motor. The current input to the rectifier has been analysed using multi-resolution analysis of discrete wavelet transform-based statistical parameter analysis to identify the best fit solution for fault diagnosis in the system. Based on the optimized results, an algorithm has been built. Cross-validation of the assessment technique has been done using real field data analysis in professional software. The algorithm has been seen to work well for the practical case studies with less error in time of analysis. Also the operation time of the algorithm has been seen to be within 1.5 s from data acquisition to fault analysis, which is satisfactorily less and can be used for effective fault diagnosis in traction locomotives.