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 thermal image data analysis method. The results suggested that the comparison of the characteristics of the temperatures obtained at different conditions and a continuous temperature subtraction method could be used as a useful analysis method for detecting abnormal temperature condition and histogram equalization could also help to enhance the fault detectability by increasing the contrast of the thermal image