Sub-health prediction method for urban mass transit vehicle door system

Abstract

The invention discloses a sub-health prediction method for an urban mass transit vehicle door system. The method comprises steps that motor acquisition data of the urban mass transit vehicle door system is pre-processed; segmental characteristic extraction of the pre-processed motor acquisition data is carried out; data standardization and discreteness processing on extracted segmental characteristics are carried out; a sub-health state model for the urban mass transit vehicle door system is acquired; according to the sub-health state model, online prediction is carried out, the online clustering result is compared with the sub-health state model established in an offline mode, and a health state of the present urban mass transit vehicle door system is acquired through prediction. The method is advantaged in that before the door system is in a fault, the sub-health degeneration state can be acquired, a modeling method is simple, multiple of known sub-health states can be predicted, during online application, unknown sub-health states can be discovered through a clustering algorithm, and prediction of the sub-health states of the urban mass transit vehicle door system can be realized.

Description

technical field [0001] The invention relates to the technical field of rail transit detection, in particular to a sub-health prediction method for an urban rail transit vehicle door system. Background technique [0002] With the rapid development of cities, the number of urban rail transit vehicles is also increasing. Existing urban rail transit vehicle door systems mainly carry out fault diagnosis, that is, to diagnose after a fault occurs, and it is impossible to predict the degradation of each component of the door system to avoid the occurrence of faults. In view of the above problems, the existing performance degradation prediction method is based on the control chart method to set the upper and lower control limits of each component for prediction, and it is impossible to predict the situation where some components have small changes in the graph and cause the performance degradation of the door system . Contents of the invention [0003] The purpose of the present...

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Problems solved by technology

[0003] The purpose of the present invention is to overcome the existing performance degradation prediction method, which cannot predict the small change of some parts in the door system, which causes the problem of the performance degradation of the door system

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