Fuzzy logic based automatic diagnosis of power apparatus by infrared imaging

A. T.P. So, W. L. Chan, C. T. Tse, K. K. Lee

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

14 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993
EditorsY. Tamura, H. Suzuki, H. Mori
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-192
Number of pages6
ISBN (Electronic)0780312171, 9780780312173
DOIs
Publication statusPublished - Apr 1993
Event2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993 - Yokohama, Japan
Duration: 19 Apr 199322 Apr 1993

Publication series

NameProceedings of the 2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993

Conference

Conference2nd International Forum on Applications of Neural Networks to Power Systems, ANNPS 1993
Country/TerritoryJapan
CityYokohama
Period19/04/9322/04/93

Keywords

  • Diagnosis and Maintenance of Power Plant
  • Fuzzy Logic
  • Monitoring
  • Power Apparatus

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Optimization
  • Modelling and Simulation
  • Artificial Intelligence

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