Automatic detection method for loose fault of end bolt of crossover support device of train bogie

Abstract

The invention relates to an automatic detection method for a loose fault of an end bolt of a crossover support device of a train bogie, and belongs to the field of railway fault detection. The methodcomprises the following steps: generating a coding sequence image by using a binary coding method reflecting local changes on the basis of a constructed image sequence, wherein the coding sequence image is used to extract local and internal structural features of a target part; locating a position of a locking plate through the spatio-temporal context algorithm; and finally detecting the deflection angle of the locking plate according to the acquired locking plate image through the Radon transform based on the gradient direction weighting to realize the discrimination of a loose fault of a bolt. The invention solves the problem that bolt loose fault is detected only by using image information. Compared with the prior art, the invention uses the sequence image, so that the corresponding updating is carried out by using the position of the locking plate detected by the previous frame image, all regions of the image need not be detected, and the invention has very high real-time performance, and lays a foundation for engineering application of freight car fault image identification.

Description

technical field [0001] The invention relates to a method in the field of non-destructive detection of railways, in particular to an automatic detection method for a bolt loosening fault at the end of a cross support device of a railway bogie, belonging to the field of railway fault detection. Background technique [0002] In order to ensure safe operation, fault detection plays a very important role in the transportation field. Due to the increasing responsibility of railway transportation in material circulation and passenger travel, once important equipment fails, it will cause casualties and property losses that we cannot predict. Therefore, while the whole society is vigorously developing railway traffic, how to reduce the occurrence of traffic accidents is a major issue related to the national economy and people's livelihood. [0003] The car bogie components are the focus of the fault safety detection of freight cars, and the cross support device is an important part ...

AI Technical Summary

Problems solved by technology

When the vehicle is running, under the condition of frequent vibration, the bolts at the end of the cross bar will loosen. If the fault is not detected and repaired in time, the bolts will further fall off and break, resulting in a major traffic accident.

[0004] It is an important task to ensure the safety of railway traffic to detect the looseness of the bolts at the end of the cross support device of the railway freight car bogie. In the past, manual inspection methods have been used, which are easily affected by the external environment and the objective factors of the inspectors themselves, and have high detection efficiency. Low, poor real-time performance, resulting in waste of human resources and many other shortcomings

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