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

fYear

1993

fDate

1993

Firstpage

187

Lastpage

192

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ANN.1993.264292

Filename

264292