열화상 히스토그램 신호 특성을 이용한 이상 진단 방법
Fault Detection Method by Using Histogram Characteristics of the Infra-red Thermal Image
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초록
Infrared thermography has been used widely for the fault detection of the mechanical systems and electrical systems. The high-speed performance of the IR camera and a reliable thermal image analysis method are necessary for the condition monitoring of the moving bodies such as rotating parts and rotors. 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 abnormalities related to temperature condition.
Abstract
Infrared thermography has been used widely for the fault detection of the mechanical systems and electrical systems. The high-speed performance of the IR camera and a reliable thermal image analysis method are necessary for the condition monitoring of the moving bodies such as rotating parts and rotors. 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 abnormalities related to temperature condition.
참고문헌 (9)
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