Railway bearing intelligent on-line detection method and its device

Abstract

The invention belongs to a technology for detecting wheel set bearings of running positions of a railway carriage and a lorry, providing an intelligent online detecting method for a railway bearing and a device using the same. The device mainly comprises a lathe bed (1), a vibration detecting mechanism, a torque detecting mechanism, a correcting mechanism and a computer (38). The method and the device have the advantages that: the intelligent online detecting method for the railway bearing and the device using the same can be used for detecting abnormal information, structural health and failure diagnosis of wheel set bearings for internal railway lorries in utilization states. The method can replace the prior detecting method which completely adopts manual detection to detect the condition of the wheel set bearing in non-disassembly condition by the manual operation of a worker according to feeling in the rolling stock depot. Compared with over 600,000 railway carriages and lorries in the country, the method and the device not only reduce labor intensity for workers, but also have a positive promoting effect for preventing accidents, so that bearing online detection and analysis for railway in the country can be quickly and healthily developed.

Description

technical field [0001] The invention belongs to the detection technology of wheel set bearings in the running parts of railway passenger and freight vehicles, and mainly relates to an intelligent online detection method and device for railway bearings. Background technique [0002] By the end of 2006, the national railway passenger cars had reached 42,600, and the national railway freight cars had reached 566,700; according to the Eleventh Five-Year Plan of the Ministry of Railways, the Ministry of Railways will invest 250 billion yuan in the purchase of rolling stock and technical transformation investment. It is estimated that by 2010, the configuration of EMUs will reach about 1,000, the number of passenger cars will reach about 45,000, and the number of trucks will reach 700,000 (including 100,000 self-owned vehicles). [0003] Although the country has invested a large amount of funds in vehicle purchase, due to the high speed and heavy load of domestic railway passenger...

AI Technical Summary

Problems solved by technology

[0003] Although the country has invested a large amount of funds in the purchase of vehicles, due to the high-speed and heavy load of domestic railway passenger and freight vehicles, the passenger and freight vehicles are overloaded.

However, the abnormal information, structural health, and fault diagnosis of the wheel set bearings under the operating state of the railway vehicle are completely manually detected (station repair or section repair), and the workers manually judge the state based on their feelings, and the reliability is not high. In addition, in the station repair There is also a method of using special equipment to simulate loading and high-speed rotation of rolling bearings in passenger and freight wheel alignments to identify faults in rolling bearings; the above detection methods have the following problems:

[0004] 1) Using manual detection to judge faulty bearings is arbitrarily large; the recognition rate of faults is relatively low

[0005] 2), work experience, environmental conditions, psychological factors, etc. all have a certain impact on the detection and judgment of faulty bearings

[0006] 3) The method of rotating the wheel set bearings at high speed and loading them at the same time is complicated, and the efficiency and success rate are not high

[0007] 4) Using infrared to predict the axle temperature when the vehicle enters the station, it has been proved by experiments that the accuracy rate is low

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