Abstract:Detecting wheel defects efficiently with high precision is a technical problem, which is essential to the safe running of trains. A method is investigated to realize the three-dimension profile reconstruction and wheel tread comprehensive detection,by combining two-dimensional Charge Coupled Device(CCD) images with line laser,encoder and diastimeter. A theoretical derivation of detecting principle is described. Through data processing with the proposed algorithm,such wheel-set parameters as flange thickness,flange height,QR(which is representative of wheel flange angle of slope) are obtained. Measurement errors and influence factors on measuring accuracy are analyzed. Simulation and field experiments results show that the proposed method can detect the faults on the wheel correctly, which satisfies the high efficiency and accuracy requirements.