Bullet train set sound failure diagnosis system and diagnosis method

Abstract

The invention discloses a bullet train set sound failure diagnosis system and diagnosis method, and belongs to the field of railway vehicle failure detection equipment. The system comprises an acoustic sensor array, an image sensor, a hardware processing circuit, an analysis host, a data storage server and a display terminal. The acoustic sensor array acquires sound information, and the image sensor acquires image information. The sound information and the image information are transmitted to the hardware processing circuit and preprocessed. Preprocessed data are transmitted to the analysis host by an Ethernet to perform positioning, analysis and recognition, and sound source positioning and failure recognition are realized. Original data of sound and images and failure information processed by the analysis host are transmitted to the data storage server by the Ethernet and stored, and the failure information is transmitted to the display terminal in an acoustic image mode and displayed. Sides of a bullet train set can be positioned and subjected to failure recognition, the sound information is comprehensively judged, and failure strength is indicated by the color and the brightness of an image.

Description

technical field [0001] The invention belongs to the field of fault detection equipment for railway vehicles, in particular to a sound fault diagnosis system and a diagnosis method for an EMU. Background technique [0002] In order to ensure the comfort of passengers and reduce the impact on the environment along the railway, the EMU has very strict requirements on the sound intensity. According to the different operating environments of the EMU when it is running at high speed, starting and stopping, different EMU noise tests and tests have been formulated. Limit standard. Abnormal noise signals not only reduce the comfort of passengers, but also are often associated with faults of EMU vehicles. Therefore, different fault analysis, identification and judgment models need to be established according to different fault locations. [0003] When the EMU is running at high speed (that is, the speed reaches 300km / h), the interaction between the wheel and rail and the vibration no...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the existing EMU sound fault maintenance is mainly based on manual monitoring, the monitoring result is affected by subjective factors and interference, the evaluation result cannot be quantitatively measured, and cannot correspond to the existing limited value standard, and proposes a EMU sound fault Diagnostic system and diagnostic method

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