Comprehensive analysis of the sensitivity and criticality of power equipment elements of urban electric transport to operational factors based on structural-functional ranking
Keywords:
urban electric transport, power equipment, reliability, diagnostics, FMEA-lite, Pareto analysis, vibration monitoring, Matlab/Simulink, Action Plan, Predictive MaintenanceAbstract
The article presents a comprehensive reliability analysis of the power equipment of urban electric transport, including traction electric motors, inverters, cable–terminal connections, and cooling systems. Based on a literature review, the strengths (development of non-invasive diagnostic methods, application of machine learning algorithms, and formation of combined maintenance strategies) and weaknesses (limited statistical data for urban fleets, sensitivity of algorithms to noise, insufficient integration with risk management) of current research were identified. A conceptual model of integrated reliability management is proposed, combining multi-source data collection, FMEA-lite methodology, Pareto analysis, and the development of an Action Plan. The analysis results revealed that the highest RPN values are associated with external factors (moisture, overloads) and critical components such as bearings, windings, and cable connections. A Matlab/Simulink model was developed to simulate vibration diagnostics of traction motor bearings, confirming the effectiveness of envelope analysis for early defect detection. The Action Plan implementation reduced average RPN values by 25 – 40%, proving the practical value of the methodology for transport depots. The obtained results provide a foundation for the transition to predictive maintenance and the enhancement of operational reliability in urban electric transport.
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