Railway D-series high-speed train apron board grating deformation fault identification method

Abstract

The invention discloses a railway D-series high-speed train apron board grating deformation fault identification method, solves the problem of low detection efficiency of an existing railway bullet train apron board grating deformation fault identification method, and belongs to the technical field of railway bullet train fault identification. The method comprises the following steps: constructingan apron board grating deformation sample set of the railway bullet train; training a deep learning target detection network Faster R-CNN by using the apron board grating deformation sample set to obtain a Faster R-CNN detection model and a weight; and identifying a to-be-detected side image of the railway bullet train by using the Faster R-CNN detection model and the weight, and determining whether the apron board grating in the side image deforms and the deformation position. The feature extraction network provided by the invention comprises the following steps: replacing a 3 * 3 convolution kernel in a Bottleneck block in a Resnet-50 network with a 3 * 1 convolution kernel connected in series with a 1 * 3 convolution kernel, and replacing a ReLU activation function in the feature extraction network with a Switch activation function. According to the method, the train apron board grating deformation fault is identified and detected, and the identification error caused by fatigue andpersonal evaluation difference during manual detection is effectively avoided.

Description

technical field [0001] The invention relates to an improved Faster R-CNN-based fault identification method for the deformation fault of a skirt plate grille of a railway motor car, belonging to the technical field of fault identification of a railway motor car. Background technique [0002] Most of the key equipment of the high-speed railway EMU is hoisted under the train. When the EMU runs at high speed on the line, it will generate strong air pressure waves. Therefore, accidents of high-speed impact between stones, ice or other objects and the equipment under the train often occur. , Seriously jeopardize the operation safety of railway trains. In order to reduce air resistance, protect and repair the equipment under the car, ensure the safe operation of high-speed railway EMUs, and the safe operation of high-speed railway EMUs registered at a speed of 200km per hour and above, install a fully enclosed undercarriage with functions of diversion, protection and maintenance. ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of low detection efficiency of existing railway train skirt grille deformation fault identification methods, the present invention provides a railway train skirt grille deformation fault identification method based on improved Faster R-CNN

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