Acoustic monitoring station, wheel detection method and train bearing fault passive acoustic diagnosis system

Abstract

The invention relates to a train bearing fault passive acoustic diagnosis system, comprising acoustic monitoring stations, an information collection server, a comprehensive processing center, a display terminal and a communication device. The acoustic monitoring stations are located along a railway to collect and analyze train bearing sound data to form a diagnosis message; the information collection server receives the diagnosis message of the acoustic monitoring stations through a 4G communication device and determines whether a bearing fault exists; the comprehensive processing center determines whether a bearing fault state reaches an alarm condition when a bearing fault exists; and the display terminal is used for querying and displaying the latest data and historic data on the information collection server. The train bearing fault passive acoustic diagnosis system is distributed along a railway in a multi-point mode, performs multi-point real-time monitoring on rolling bearing faults in driving processes of lorries, carriages and bullet trains, automatically notifies a maintenance department the moment a bearing fault happens, and reduces hidden dangers caused by train bearing faults.

Description

technical field [0001] The invention belongs to the technical field of train bearing fault diagnosis, and in particular relates to an acoustic monitoring station, a state-based wheel detection method and a passive acoustic diagnosis system for train bearing faults. Background technique [0002] Rolling bearings are one of the main components of train vehicles, and their fault status directly affects the safe operation of trains and the safety of people's lives and property. Therefore, real-time monitoring and diagnosis of fault status and timely alarm processing are particularly important. [0003] At present, China mainly adopts four methods of manual operation perception, infrared temperature judgment, vibration signal detection, and acoustic signal detection for the diagnosis of rolling bearing fault status of train vehicles in China. Judging abnormal noise by hearing, judging abnormal vibration by touch, and relying on personal experience to make judgments on bearing fau...

AI Technical Summary

Problems solved by technology

[0003] At present, China mainly adopts four methods of manual operation perception, infrared temperature judgment, vibration signal detection, and acoustic signal detection for the diagnosis of rolling bearing fault status of train vehicles in China. Judging abnormal noise by hearing, judging abnormal vibration by touch, and relying on personal experience to make judgments on bearing fault status. This method has a long period of time and strong personal subjectivity. It is impossible to diagnose bearing faults during the maintenance cycle and when personal experience is insufficient; A vast infrared shaft temperature monitoring network has been laid along the railways in China. At each monitoring point, the bearing temperature of the passing trains is measured, and the results of multiple monitoring stations are combined to give an alarm to the bearing fault status. Only under load will there be a significant temperature rise. At the end of the fault, the bearing will fail quickly, and it may be too late to deal with it. This method cannot monitor the occurrence and development of bearing faults; there are many vibration sources when the train is running, and the vibration sensor cannot It is directly connected to the rolling bearing. The signal received by the vibration sensor contains multiple vibration sources in most cases. The abnormal vibration signal of the bearing fault is easily interfered by other vibration sources, and cannot effectively monitor the process of the occurrence and development of the bearing fault; acoustic diagnosis The system uses the abnormal sound emitted by the bearing in the process of fault occurrence and development to track its fault status. At present, China has initially established an acoustic detection network for truck bearing faults, and mainly imported mature foreign products, which have played a role in monitoring and diagnosing truck bearing faults. important role, but there are still many deficiencies in its system design, mainly in: ① only for truck bearing fault diagnosis, the system design can not take into account the truck, passenger car, motor vehicle bearing fault diagnosis; ② system equipment is outdated, mostly The processing capacity of the equipment 10 years ago is insufficient, resulting in unnecessary redundancy in the system configuration; ③The need to use the railway private network increases the cost of network deployment

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