Remote Malfunction Diagnosis System Based on Infrared Thermal Imaging and RIA

To address the very difficult technical problem of non-contact malfunction identification & diagnosis for equipments, the author provided the principle of malfunction identification & diagnosis by comparing real-time measured thermal image with standard reference thermal image based on infrared thermal imaging, designed a self-learning diagnosis algorithm according to the cumulative deviation of first-order and second-order temperature differential between the two images, developed the hardware system, the algorithm desktop software and Flex & JavaEE web application software, and finally realized the image transmission via web, the separation of the equipment´s thermal image from its background, the malfunction identification & diagnosis, and remote web access to the results. The practice shows that the system can identify and diagnose effectively the equipment´s malfunctions.