Method and device for diagnosing faults of rail locomotive network control systems

Abstract

The invention discloses a method and a device for diagnosing faults of rail locomotive network control systems. The method includes building fault state identification models on the basis of Bayesiannetworks and Markov transition matrixes; acquiring MVB (multifunctional vehicle bus) data packet on MVB in real time, acquiring occurrence frequencies corresponding to fault feature points in currentmonitoring standard calibration time delta t and acquiring fault feature occurrence probability and mapping probability of the fault feature points on the basis of the occurrence frequencies; computing prior probability of fault nodes, which correspond to fault features, in four fault states by the aid of prior probability transition models and ultimately computing posterior probability of the fault nodes, which correspond to the fault features, in the four fault states on the basis of prior probability and mapping probability parameters by the aid of probability conversation formulas. The fact that the fault states corresponding to the highest posterior probability are current states of the fault nodes is the highest in reliability.

Description

technical field [0001] The invention belongs to the technical field of rail locomotives, and in particular relates to a fault diagnosis method and a diagnostic device for a network control system of rail locomotives. Background technique [0002] The HXD1 locomotive, which is currently the main model, is equipped with an MVB network control system. The important components of the locomotive (such as traction control unit, central control unit, brake, etc.) are all connected to the network to transmit data. However, during the daily operation of locomotives, failures and hidden dangers that affect the safety of locomotive operation, such as network communication interruptions and component communication failures, often occur; and such failures cannot be accurately detected and located during daily maintenance and maintenance, and it is impossible to determine whether they are Transient failure, intermittent failure or permanent failure. The existing C4 repair and C5 repair r...

AI Technical Summary

Problems solved by technology

However, during the daily operation of locomotives, failures and hidden dangers that affect the safety of locomotive operation, such as network communication interruptions and component communication failures, often occur; and such failures cannot be accurately detected and located during daily maintenance and maintenance, and it is impossible to determine whether they are Transient failure, intermittent failure or permanent failure

The existing C4 repair and C5 repair regulations do not perform performance testing on locomotive communication cables, but only conduct qualitative analysis based on locomotive operation conditions, which cannot ensure that the locomotive communication reaches the optimal state

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