High speed railway catenary fault diagnosis method based on deep convolution neural network

Abstract

The invention discloses a high speed railway catenary fault diagnosis method based on a deep convolution neural network. The method comprises the following steps: the two-dimensional gray scale image of a high speed railway catenary supporting device is acquired; the deep convolution neural network is pre-trained through a catenary training set, the deep convolution neural network is put to a faster RCNN for training, an equipotential line in the two-dimensional gray scale image is extracted through a trained model and is segmented, and an equipotential line region picture is acquired; and the acquired equipotential line region picture is sequentially subjected to the following processing: the brightness and the contrast are adjusted; recursive Otsu presegmentation is carried out; and ICM / MPM (Iteration condition model / maximization of the posterior marginal) is used to segment and corrode and expand the picture, equipotential line pixel points are obtained, the maximum connected domain is extracted, and the number N of independent connected domains in the equipotential line pixel point region is counted; and if N is larger than m, separable strand fault is judged to happen to the part of the equipotential line. The equipotential line can be accurately positioned, the fault diagnosis accuracy is improved, and the actual production needs are met.

Description

technical field [0001] The invention relates to the field of high-speed railway catenary fault detection, in particular to a high-speed railway catenary fault diagnosis method based on a deep convolutional neural network. Background technique [0002] As an important basic transportation facility, the rapid development of high-speed railway puts forward higher requirements for safety issues; the equipotential line is one of the components of the catenary support device, and its function is to ensure the safety between the positioner support and the positioner. equipotential connection; on high-speed railways, equipotential lines are installed on the front and back sides between the locator support and the locator, which shows its importance; the application of non-contact detection technology based on image processing mainly focuses on In the measurement of catenary geometric parameters and the detection of pantograph-catenary bad state, such as the detection of the inclinat...

AI Technical Summary

Problems solved by technology

[0002] As an important basic transportation facility, the rapid development of high-speed railway puts forward higher requirements for safety issues; the equipotential line is one of the components of the catenary support device, and its function is to ensure the safety between the positioner support and the positioner. equipotential connection; on high-speed railways, equipotential lines are installed on the front and back sides between the locator support and the locator, which shows its importance; the application of non-contact detection technology based on image processing mainly focuses on In the measurement of catenary geometric parameters and the detection of pantograph-catenary bad state, such as the detection of the inclination of the locator, the measurement of the lead higher than the pull-out value, the detection of the wind deflection of the catenary, the detection of the crack of the pantograph slide plate, etc.; for the support of the catenary The component fault detection of the device adopts the traditional feature extraction method to locate the catenary component; since the equipotential line is a non-rigid body and has many shapes, the existing HOG feature or SIGT feature is used to adopt the traditional template matching method unsatisfactory results

Images