With the rapid development of deep learning technology,using deep learning technology to detect train faults has become an important research direction in the field of intelligent operation and maintenance.The article presents a method for de-tecting train equipment bolt detachment faults using a deep learning model.The method enables automatic inspection devices to discriminate and output abnormal detection results from collected photos of train equipment bolts.The article explains from the as-pects of training data processing,fault detection model construction,model training,and model application.
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