Fault statistic analysis based motor train unit repair decision method and apparatus

Abstract

The invention provides a fault statistic analysis based motor train unit repair decision method and apparatus. The method comprises the steps of calculating an instantaneous fault rate, fault severity level magnitude and fault probability level magnitude of a fault according to fault information of a fault mode of a part of a motor train unit; calculating fault criticality level magnitude according to the fault severity level magnitude and the fault probability level magnitude; determining a fault repair mode according to the fault criticality level magnitude and the fault severity level magnitude; calculating running mileage or running time, corresponding to a loss critical point of the part, of the motor train unit according to the instantaneous fault rate; and determining a repair cycle of the part with the corresponding fault mode according to the fault repair mode and the running mileage or the running time, corresponding to the loss critical point of the part, of the motor train unit. According to the motor train unit repair decision method and apparatus, the fault can be quantitatively analyzed, the judgment efficiency of a repair policy for important parts of the motor train unit can be improved, and judgment standards of repair decision are unified.

Description

technical field [0001] The invention belongs to the field of rail transit, and more specifically, belongs to a method and a device for decision-making of motor train unit maintenance based on statistical analysis of faults. Background technique [0002] Maintenance work is a necessary means to ensure the continuous safe and reliable operation of EMUs. Applicable and effective maintenance work can reduce maintenance costs and shorten maintenance stop times under the premise of ensuring the safety and quality of EMUs, and obtain the best economic benefits. With the increase in the number of EMUs and the continuous increase in operating mileage, the maintenance of EMUs is facing enormous pressure in terms of technology, quality, cost, and management. It is imperative to optimize the maintenance of EMUs. [0003] But for now, the maintenance strategy (including maintenance method and maintenance cycle) of EMU products is mainly formulated based on experience, and a scientific an...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a maintenance decision-making method and device for EMUs based on fault statistical analysis, which is used to solve the problem of making maintenance strategies (including maintenance methods and maintenance cycles) for EMU products based on human experience in the prior art. Improper conditions will affect maintenance efficiency, cause excessive maintenance costs or cause more serious damage

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