Detection method for train bearing fault

Abstract

The invention provides a detection method for a train bearing fault. The method comprises the following steps of: comprehensively detecting an integral fault characteristic spectrum so as to ensure the safety of a train bearing; and when detection signals are implemented, performing further processing by utilizing related methods after a measured spectrum result is obtained by sampling, conversion and calculation so as to overcome the interference of random vibratory impulses in measurement. The method has the effects that a KW2002 bearing fault diagnostic apparatus designed and manufactured by utilizing the method is used for realizing the static no-disassembly detection of faults comprising the abrasion of a bearing component, and a KW0021 train bearing monitor designed and manufactured by utilizing the method can be used for monitoring the status of the bearing in real time in the running of a train to realize the early warning of the bearing fault, so that the safety of railway traffic is greatly improved; and minor fault characteristics can be detected in the running of the train, and the long-lasting thinking mode that the inference produced in the running of the train cannot be overcome in China is broken.

Description

technical field [0001] The invention relates to a detection method, in particular to a detection method for railway train bearing faults. Background technique [0002] Railway is an important sector of my country's national economy, and trains have become the main means of transportation especially suitable for my country's national conditions. Just because the status of railways in the national economy is so important, the safety of railway traffic has become the top priority of the railway system and the whole nation. This issue is especially important today when the speed is increasing rapidly. [0003] And in railway traffic, a kind of serious accident is shaft cutting (i.e. broken shaft), which directly affects the safety of passengers and goods. Once an axis cutting accident occurs during transportation, the train may derail, which will cause huge economic losses, casualties and extremely bad social impact. According to statistics, more than 90% of the shaft cutting...

AI Technical Summary

Problems solved by technology

[0011] In the first and third methods above, the result of the diagnosis is the examiner’s subjective evaluation, and its accuracy is related to the examiner’s experience, attitude, sense of responsibility, and even physical condition, which is highly random and has a relatively high risk

[0012] Although the second method is intuitive, it will destroy the existing running-in conditions of the bearing because the bearing must be disassembled

The practical applicability of this method is poor, showing the helplessness of the patent inventor

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