Diagnostic technique for power systems utilizing infrared thermal imaging

A real-time diagnostic and control technique has been developed for use in electronic circuits whose thermal signature can be correlated to their operating status. Successful implementation of this diagnostic scheme in proof-of-concept experiments required the incorporation of several technological issues into a complete system that has the capability to detect potential fault modes in the system under observation. Included was the ability to: (1) use infrared optical fibers to view components within enclosures and complex geometries; (2) obtain the thermal profile of the system; (3) process and analyze thermal data; (4) implement a simulated artificial neural network to determine the particular condition or fault corresponding to the thermal signature; and (5) perform any necessary corrective action in a timely manner. Infrared optical fibers, routed from individual components to an external array of connectors, were used to collect and transmit energy radiated from those components. An infrared thermal imaging camera was utilized to scan the fiber array and produce an image corresponding to the thermal profile; thus, the thermal signature was obtained in a manner which was neither thermally nor electrically intrusive. Temperature data was then transmitted via an interface bus from the camera system to the control computer where information was converted into a form suitable for input into a trained artificial neural network.