Title :
Fuzzy logic based automatic diagnosis of power apparatus by infrared imaging
Author :
So, Albert T P ; Chan, W.L. ; Tse, C.T. ; Lee, K.K.
Author_Institution :
City Polytech. of Hong Kong, Hong Kong
Abstract :
This paper describes a thermographic application system for the electrical power industry. The infrared imager has a range from 40 degrees C to 950 degrees C and maximum resolution down to 0.01 degrees C. A new algorithm for image matching has been devised to match slightly different infrared images of the same object by adaptively adjusting the five parameters, namely x- and y- translation, rotation, x- and y- scaling respectively. The diagnosis is automatically executed by a fuzzy logic-based expert system which extracts the major features within the thermograms and recommends appropriate actions for maintenance.
Keywords :
automatic test equipment; automatic testing; expert systems; fuzzy logic; infrared imaging; machine testing; power apparatus; thermal analysis; 40 to 950 degC; algorithm; automatic diagnosis; automatic testing; expert system; fuzzy logic; image matching; infrared imaging; machine testing; power apparatus; resolution; rotation; scaling; thermal analysis; thermograms; thermographic application system; translation; Cameras; Fuzzy logic; Image resolution; Infrared detectors; Infrared imaging; Insulation; Monitoring; Power system faults; Surface treatment; Temperature measurement;
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-1217-1
DOI :
10.1109/ANN.1993.264292
