DPC-based method and system for detecting abnormality of multi-door system of rail vehicle
An anomaly detection and rail vehicle technology, applied in the direction of railway vehicle testing, etc., can solve the problems of different parts, many parts, and inability to detect the abnormality of subway vehicle door system, and achieve good universality and reduce repetition.
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[0043] The present invention will be further described below in conjunction with the drawings. The following embodiments are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.
[0044] figure 1 It is a flowchart of an abnormality monitoring method for a vehicle multi-door monitoring system according to a specific embodiment of the present invention; refer to figure 1 It shows that the present embodiment performs health modeling based on the cumulative data of the positive line on multiple doors of a train to obtain a health model of the multi-door system, and then performs periodic horizontal comparison between the doors to mark the abnormal doors, Complete the automatic identification of the door health status. The whole process includes the following steps:
[0045] Step (A), collecting and preprocessing the main line data of multiple door systems on a subway train;
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