System for evaluating reliability of bogie rolling bearing based on offline state vibration characteristics

Abstract

The invention provides a system for evaluating reliability of a bogie rolling bearing based on offline state vibration characteristics. The system comprises a jacking device, friction wheels, a sensor, a data collector and a computer, wherein the jacking device is used for jacking wheel pairs of a tested vehicle when the tested vehicle is in an offline state, so that the wheels are separated from rails; the friction wheels are in drive connection with the wheel pairs of the tested vehicle and are used for driving the wheel pairs of the tested vehicle to rotate; the sensor is arranged on a bogie of the tested vehicle and is used for determining vibration acceleration signals of an axial bearing and a traction motor bearing; the data collector is connected with the sensor and collects the collected vibration acceleration signals; the computer is connected with the data collector; the computer builds a proportion-fault rate model by statistical characteristic values, of the vibration acceleration signals as response covariate and reliability and calculates the fault rate and the reliability of the bearing through the proportion-fault rate model.

Description

technical field [0001] The invention relates to a system for evaluating the reliability of bogie rolling bearings based on vibration characteristics in an offline state, and belongs to the technical field of subway vehicle safety detection. Background technique [0002] As a key component to ensure the normal operation of the vehicle, the bogie is not only used to tow and guide the vehicle, but also to transmit and ease the load and impact from the vehicle body and the line. Axlebox bearings are one of the key components of urban rail transit vehicle bogies, and their performance directly affects the running status of bogies and even vehicles. At the same time, during the operation of the vehicle, the axle box bearings often need to bear huge loads and abnormal vibration and impact caused by the track route, which may cause failures such as fatigue, wear, and peeling of the bearings. It is one of the most prone to failure components on the train . Faulty bearings will gene...

AI Technical Summary

Problems solved by technology

When the vehicle is online, due to the excitation generated by the wheel-rail contact and the influence of the operating environment, it is very difficult to collect vibration signals. At the same time, there are problems such as large amount of operation and maintenance and high cost in online detection.

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