Fault classification method and system for rail vehicle suspension system based on fuzzy intelligence

Abstract

The invention discloses a fuzzy intelligence-based rail transit vehicle suspension system fault analysis method. The steps of the method include: constructing a rail transit vehicle suspension system model, and performing dynamic characteristic analysis S1 on the model; According to the scientific analysis results, the acceleration sensor S2 is arranged; the time-domain and frequency-domain features of multiple sets of data collected by the acceleration sensor are extracted, and the distance feature is extracted S3 through power spectrum analysis; the dimensionality reduction process is performed on the original feature samples in step S3, Obtaining fault feature samples S4; based on the fault feature samples, using fuzzy intelligence to classify the faults of the vehicle suspension system S5. This scheme overcomes the shortcoming that the time-frequency domain characteristic index describes the signal change from a certain aspect of the time domain or the frequency domain, and at the same time overcomes the shortcoming that the time-frequency domain characteristic index is easy to be submerged by the summation and averaging operation. The quality of the feature sample.

Description

technical field [0001] The invention relates to the field of train failure analysis, in particular to a fuzzy intelligence-based failure analysis method and system for rail transit vehicle suspension systems. Background technique [0002] The rapid development of rail transit has put forward new requirements for the safety and reliability of vehicles. In some big cities, such as Beijing, Shanghai and Guangzhou, many operating lines are overloaded during morning and evening peak hours. This requires that each key system of the train must be safe and reliable, without major failures or even failures. As one of the main parts of the vehicle, the suspension system plays a vital role in the safety of the vehicle. Suspension system failures will cause poor train running comfort and unbalanced wheel-rail contact force. Serious failures will lead to train instability or even derailment. For high-speed trains, the failure of the vehicle suspension system is fatal for the train. ...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved in the present invention is to provide a method and system for fault classification of rail transit vehicle suspension systems based on fuzzy intelligence, so as to solve the problem that the time series signal change characteristics of the analysis object are not analyzed in the fault diagnosis process of the existing vehicle suspension system. It leads to the inability to accurately detect or estimate the faults of the system, thereby reducing the accuracy of fault location and classification accuracy

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