Thermal image analysis method for the detection of the abnormal parts under the railway vehicle

IR camera has been used widely for the temperature measurement and fault detection of the moving bodies and rotating bodies. The high-speed performance of the IR camera and a reliable thermal analysis method are required for the condition monitoring of the railway vehicle running at high speed. The effective fault detection method using a thermal image analysis could make a real time monitoring of the high speed train possible. Therefore the investigation of the performance of the thermal image analysis method was performed to find the effective analysis method. The results suggested that a continuous temperature subtraction method and the comparison of the characteristics of the image histogram obtained at different conditions could be used as a useful analysis method for detecting abnormal temperature condition.