Bogie fault diagnosis method integrated with multiple sensors

Abstract

The invention discloses a bogie fault diagnosis method integrated with multiple sensors. The method comprises the following steps: synchronously acquiring vibration impact signals of the multiple sensors installed at fault-prone positions of a bogie; calculating a phase difference of the vibration impact signals of each sensor relative to the vibration impact signals of a certain sensor; according to the phase differences, positioning fault positions; according to the phase differences, performing phase shifting on the vibration impact signals of each sensor through a phase shift technology and carrying out signal integration; and calculating a maximum value of integrated signals and carrying out quantified diagnosis on faults. The fault diagnosis method provided by the invention can improve fault position locating and grade-alarm precision and sensor redundancy and can realize diagnosis of the faults of non-rotatable parts of the bogie.

Description

technical field [0001] The invention belongs to the field of transportation, and in particular relates to a method for diagnosing bogie faults with fusion of multiple sensors. Background technique [0002] With the rapid development of high-speed, heavy-duty railways and urban rail transit, the fatigue damage of vehicle bogies has become more and more serious, such as wheel polygons, wheel tread abrasions, bogie bearing failures and cracks. As the two legs of the vehicle, the vehicle bogie plays the role of support and guidance, and its operating conditions will directly affect the smoothness, stability and safety of the vehicle. If some technical means can be used to monitor and diagnose faults in real time, it will be of great significance to improve driving safety. [0003] The monitoring subsystem of the running part of the 6A system developed by several companies is equipped with vibration and shock sensors at locations prone to failure: such as axle box bearings, axle...

AI Technical Summary

Problems solved by technology

[0006] 1. Due to reasons such as wheel-rail impact, electromagnetic interference, processing technology, and internal defects, the sensor will always fail to varying degrees, which will lead to data loss at the monitoring position, lose the effectiveness of real-time monitoring, and cause extreme damage to fleeting failures. high chance of misdiagnosis

[0007] 2. The vibration and shock signal of the measuring point may be caused by faults in other locations (non-sensor installation locations). When the shock frequency coincides with the fault characteristic frequency of the measuring point, it will cause misdiagnosis

[0008] 3. Affected by noise interference, it is difficult to identify the weak impact at the initial stage of the fault, which greatly reduces the accuracy of the fault level alarm and increases the probability of misdiagnosis

[0009] 4. Only the rotating parts (bearings, wheels, etc.) with fault characteristic frequency can be monitored and diagnosed, and there is no technical solution for non-rotating parts such as bogie cracks

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