A fault identification method for the deformation of the skirt plate grid of the railway train

Abstract

The invention discloses a method for identifying deformation faults of a skirt plate grille of a railway motor car, which solves the problem of low detection efficiency of the existing method for identifying deformation faults of the skirt plate grille of a railway motor car, and belongs to the technical field of fault identification of a railway motor car. The invention includes: constructing a skirt plate grid deformation sample set of a railway motor car; using the skirt plate grid deformation sample set to train a deep learning target detection network Faster R-CNN to obtain a Faster R-CNN detection model and weight; using the Faster R-CNN ‑CNN detection model and weights identify the side image of the railway train to be detected, and determine whether the skirt grille in the side image is deformed and the position of the deformation. The feature extraction network of the present invention includes: replacing the 3x3 convolution kernel in the Bottleneck block in the Resnet-50 network with a 3x1 convolution kernel connected in series with a 1x3 convolution kernel, and replacing the ReLU activation in the feature extraction network with the Swish activation function function. The invention recognizes and detects deformation faults of train skirt plate grids, and effectively avoids recognition errors caused by fatigue and individual judgment differences during manual detection.

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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