Automatic Fault Recognition for Losing of Train Bogie Center Plate Bolt

摘要：

　　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%.

关键词： automatic recognition Haar-like feature AdaBoost algorithm cross-validation

作者: Nan Li Zhenzhong Wei Zhipeng Cao Xinguo Wei

作者单位: Beijing University of Aeronautics & Astronautics BUAA, Beijing, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1080-1084

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）