Method and system for identifying falling fault of rail wagon hook lifting rod
A technology for fault identification and railway wagons, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of low accuracy rate, achieve the effect of improving accuracy rate, enhancing generalization ability, and reducing mis-segmented regions
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[0046] Specific embodiment one: reference figure 1 Specifically explain this embodiment,
[0047] The method and system for identifying the failure of the rail freight car hook lifting rod falling off in this embodiment includes the following steps:
[0048] 1. The training set required to build a deep learning model
[0049] The high-definition gray-scale image collection of the hook lift bar is completed by the image collection equipment on both sides of the rail of the truck. Because the truck is running in the open air, the hook lift bar will be subject to natural conditions (such as rain stains, mud stains, rust) and Man-made conditions (such as oil stains) affect different gray levels in the image. Therefore, when collecting data samples of the hook-lift bar in the early stage, it is necessary to ensure the diversity of the data as much as possible to ensure that the samples cover the hook-lift bar images under various conditions as much as possible. This can improve the gene...
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