Traction system main loop grounding fault diagnosis method and system based on characteristic correlation

Abstract

The invention relates to the field of fault diagnosis, and discloses a traction system main loop grounding fault diagnosis method and system based on characteristic correlation, so as to reduce the influence of measurement noise and transient working condition change on the fault diagnosis performance and improve the accuracy of fault detection and isolation. The method comprises the following steps: selecting a historical operation data training set, and extracting characteristic variables associated with a traction system main loop grounding fault from original data; calculating corresponding characteristic indexes according to the characteristic variables to form a characteristic index data set, and calculating typical correlation analysis parameters and a fault detection threshold by utilizing the characteristic index data set; selecting a historical fault data set to model a fault vector, and constructing a fixed residual error direction library of various faults; and selecting atest data set, calculating a residual error according to the test data set and the typical correlation analysis parameters, comparing the residual error with the fault detection threshold, and if a fault occurs, calculating a residual error direction of fault data and matching the residual error direction with thee fixed residual error direction library to realize fault isolation.

Description

technical field [0001] The invention relates to the field of fault diagnosis of traction systems, in particular to a method and system for diagnosing grounding faults of main loops of traction systems based on feature correlation. Background technique [0002] The traction system is one of the key systems of modern rail transit trains, and the reliability level of the traction system directly affects the safety of train operation. However, when the train is actually running, the working environment of the traction system is complex, and ground faults are prone to occur, causing short-circuit currents in the system that exceed the tolerance range of the equipment, thereby damaging key core components and affecting train operation. Since the traction system is a nonlinear and strongly coupled system, it is difficult for maintenance personnel to check in time when a ground fault occurs. Therefore, during the operation of the train, if the rapid detection of the ground fault of...

AI Technical Summary

Problems solved by technology

This type of method has high requirements for data stability, and the diagnostic performance is insufficient when the transient working conditions change during train operation and the sensor measurement noise is large.

Images