2017. Vol.20. 3, pp. 63–67
Vibration Monitoring of Wheel-Motor Units of Electric Rolling Stock
This study aims to develop engineering solutions for improving efficiency of operation, repair and maintenance of electric rolling stock.
The studies were based on the methods of technical diagnosis, the fuzzy logic decision-making techniques, the reliability and probability theories. Experimental studies were conducted on the basis of the experimental design theory. The in-situ testing data were obtained during diagnosis of the wheel-motor units in the railcar depots of the Moscow and October Railways.
The use of fuzzy logic in the decision-making model on the technical condition of wheel-motor units has been substantiated. The lognormal distribution law, which the vibration parameters of wheel-motor units of the electric rolling stock are subject to, has been established. An analytical model that provides the possibility to preset the values of the false alarm probability and the defect missing probability in the diagnosis of wheel-motor units has been proposed.
The paper offers a scientifically grounded engineering solution for improving the efficiency of operation, repair and maintenance of electric rolling stock by increasing the diagnostics reliability to 99% and reducing the test duration by 20%.
Keywords: vibration, rolling stock, condition monitoring, distribution law, diagnostics reliability.