Fuzzy-intelligence-based rail car suspension system fault classification method and system

Abstract

The invention discloses a fuzzy-intelligence-based rail traffic car suspension system fault analysis method. The method comprises the steps that 1, a rail traffic car suspension system model is constructed, and dynamic characteristic analysis is performed on the model; 2, according to the dynamic characteristic analysis result of the rail traffic car suspension system model, an acceleration sensor is arranged; 3, multiple data time domain and frequency domain characteristics collected by the acceleration sensor are extracted, and distance characteristics are extracted through power spectrum analysis; 4, dimension reduction processing is performed on an original characteristic sample in the step 3, and a fault characteristic sample is obtained; 5, on the basis of the fault characteristic sample, fuzzy intelligence is utilized for performing fault classification on the car suspension system. According to the scheme, the defect that time frequency domain characteristic indexes describe signal changes from a certain aspect of a time domain or a frequency domain is overcome, meanwhile, meanwhile, the defects that time frequency domain characteristic indexes are easily added and average calculating operation submerge difference characteristics are obtained are overcome, and the characteristic sample quality is improved.

Description

Technical field [0001] The present invention relates to the field of train failure analysis, in particular to a method and system for failure analysis of rail transit vehicle suspension systems based on fuzzy intelligence. Background technique [0002] The rapid development of rail transit has put forward new requirements for the safety and reliability of vehicles. In some large 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 failure or even failure. As one of the main parts of the vehicle, the suspension system plays a vital role in the safety of the vehicle. The failure of the suspension system will cause problems such as the deterioration of the comfort of the train and the imbalance of wheel-rail contact force. A serious failure will cause the train to run instability or even derail. For high-speed trains, vehic...

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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