A fault prediction method and device for a switch point machine

Abstract

The invention provides a method and device for predicting fault of a turnout switch machine. The method comprises the following steps: acquiring action current data of a turnout switch machine and taking the current data as a prediction set; extracting current characteristic values of each current data in the prediction set; respectively carrying out decision and classification on the current characteristic value of each current data in the prediction set by adopting the decision tree of each working stage of the turnout switch machine to obtain a classification result of whether each currentdata in the prediction set is in fault or not in each working stage of the turnout switch machine, determining an abnormal current characteristic value when a certain current data in the prediction set is in a fault in any working stage of the turnout switch machine to obtain a fault prediction result. The decision tree of each working stage of the turnout switch machine is pre-established based on the obtained turnout switch machine action current data sample of each working stage, a characteristic value set of the current of the turnout switch machine in each working stage and a pre-established fault characteristic set of the turnout switch machine. The method and device for predicting fault of the turnout switch machine can realize the fault prediction function of the turnout switch machine.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of rail transit, and in particular to a method and device for fault prediction of a switch machine. Background technique [0002] The operation and maintenance of turnout switch machines has always been an important part of the coordinated operation and maintenance of subways. Whether the switch machines can respond to system commands in a timely and reliable manner and realize switch switching is related to driving safety and the safety of passengers' lives and property. [0003] At present, domestic turnout and switch machine operation and maintenance methods are generally divided into three categories: diagnostic methods based on analytical models, diagnostic methods based on knowledge, and authority management based on rules and regulations. These three methods belong to the categories of "planned repair" and "failure repair". Among them, "planned repair" means that after the t...

AI Technical Summary

Problems solved by technology

The traditional evaluation methods for the faults of turnouts and switch machines generally have many problems such as scattered hazard sources, difficulty in modeling complex systems, low adaptability of models to practical problems, and high manpower and material resources.

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