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Remote Malfunction Diagnosis System Based on Infrared Thermal Imaging and RIA

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1 Author(s)
Wenjun Zhang ; Dept. of Comput. Sci. & Technol., China Women''s Univ., Beijing, China

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.

Published in:

Photonics and Optoelectronic (SOPO), 2010 Symposium on

Date of Conference:

19-21 June 2010