Externally excited vibration audio response vehicle detection device and method

Abstract

The invention discloses an externally excited vibration audio response vehicle detection device and method. The externally excited vibration audio response vehicle detection device comprises a detection area formed by a plurality of sectional type steel rails, wherein gaps with different widths are left between the steel rails; elastic roadbeds are laid under the steel rails; an audio vibration sensor is arranged between each section of steel rail and the elastic roadbed and is electrically connected to a data pre-processor; and the data pre-processor is electrically connected to a computer. When wheels pass the narrow gaps of the series of steel rails and naturally sink, the vibration impulse excitation is generated on the structure of a vehicle, a fluctuation response is generated underthe excitation and is transmitted to important parts such as a vehicle body, a bogie, and a coupler; the sensor is used for receiving the response signal; the computer is used for analyzing the characteristic frequency spectrum of the response; and in the case of comparing the standard characteristic frequency spectra, the degree and nature of defects in the important parts and materials such as the vehicle body, the bogie, and the coupler can be quickly diagnosed.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis and maintenance of urban rail transit vehicles, and in particular relates to an external excitation vibration audio response vehicle detection device and a detection method thereof. Background technique [0002] At present, the overhaul and maintenance of urban rail transit vehicles in China are basically classified according to the number of kilometers traveled or the number of continuous running hours determined in the industry standards. For large and complex vehicle groups, the daily maintenance of vehicles basically relies on It is done manually, the automation of maintenance operations and fault diagnosis is low, the labor intensity of operators is high, the vehicle maintenance cycle is long, and the quality of maintenance is greatly affected by the professional skills and on-site experience of the maintenance personnel. The quality of maintenance cannot be guaranteed. The current sol...

AI Technical Summary

Problems solved by technology

[0002] At present, the overhaul and maintenance of urban rail transit vehicles in China are basically classified according to the number of kilometers traveled or the number of continuous running hours determined in the industry standards. For large and complex vehicle groups, the daily maintenance of vehicles basically relies on It is done manually, the automation of maintenance operations and fault diagnosis is low, the labor intensity of operators is high, the vehicle maintenance cycle is long, and the quality of maintenance is greatly affected by the professional skills and on-site experience of the maintenance personnel. The quality of maintenance cannot be guaranteed. The current solution There are three plans: one is to invest in the number of maintenance personnel and increase the professional training and skill training of vehicle maintenance and maintenance personnel. The equipment and means of inspection and maintenance automation are currently commonly used wheel and axle scanning flaw detection technology. This method improves work efficiency to a certain extent in detecting and diagnosing defects in important key parts of the vehicle and ensures the quality of inspection and maintenance. However, the car body bogie Flaw detection operations cannot be performed on important structures such as the car and coupler, and even if the flaw detection is done, it is impossible to diagnose the deviation of its structural dynamic characteristics. The third is to introduce automatic maintenance robots, and use intelligent robots with different special maintenance and diagnosis functions to diagnose the complex system of the vehicle Although this method represents the development direction of the current advanced maintenance technology, as far as the current technical level is concerned, there is still a lack of detection methods for the material structure defects and dynamic parameter deviations of the multiple bogies and coupler components of the entire group of vehicles.

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