Gear fault diagnosis method in railway locomotive gearbox

Abstract

The invention discloses a gear fault diagnosis method in a railway locomotive gear box. The method comprises the following steps: S1, collecting various fault vibration signals of a locomotive gearbox; S2, calculating various information entropies of the fault of the gear box of the locomotive; S3, establishing an information entropy point sample library of various locomotive gear box faults; S4,acquiring a vibration signal in the gear box to be diagnosed, and establishing an information entropy point of the gear; and S5, identifying the faulty gear by utilizing the information entropy mean distance. According to the method, the vibration sensor is used for collecting the gear to extract the information entropy characteristic index in the vibration signal, and on the premise that the change rule of the information entropy characteristic index and the gear fault is obtained, the quantitative relation between the information entropy and the gear fault is obtained. On the basis of obtaining multiple measurement information entropy features, an information entropy mean distance diagnosis method is adopted to diagnose the fault of the gear. Due to the fact that the information entropycan eliminate redundant information in the fault signals, fault features in the average information amount are obtained, and the diagnosis effect on gear faults can be improved.

Description

technical field [0001] The invention relates to a method for diagnosing a railway locomotive, in particular to a method for diagnosing a gear failure in a gearbox of a railway locomotive. Background technique [0002] At present, railway transportation plays the main role of the modern transportation industry, but with the increase of train speed and load capacity, more stringent requirements are put forward for the safety of train operation. Train locomotives usually run at high speed or with heavy loads, which can easily cause nonlinear and non-stationary vibrations in the running parts, resulting in failures such as tooth fracture, tooth surface fatigue, tooth surface scratches, and tooth surface wear in the gearbox. The running part of the locomotive could not work normally, and even caused a major train accident. [0003] With the rapid development of the railway industry, the fault diagnosis of the running part of the locomotive has also received extensive attention. ...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the problem that in the prior art, the gear fault diagnosis method is very simple, which can only detect gear faults but cannot identify specific faults

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