Automatic fault recognition for losing of train bogie center plate bolt

This paper proposes an automatic recognition method for losing of train bogie center plate bolt (TBCPB), which initially locates the bolt region based on gray projection and spatial filter, and then acquires the accurate position of bolt region combined with its gradient feature, finally extracts the Haar-like features of bolt region and designs a classifier based on the AdaBoost algorithm. Results of experiments demonstrate that the method compresses noise effectively and overcomes the complexity of various backgrounds. It is also a robust method to images with poor quality, such as blur, poor illumination and excess exposure. The average fault recognition accuracy is 95.9%.