Intelligent Support System for Power System Operators: Decision Making for Wash Timing of Polluted Insulators

  • Taniguchi, Tatsuro (Kokura Power System Maintenance Office of Kyushu Electric Power Co., Inc.) ;
  • Goto, Satoru (Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University) ;
  • Nakamura, Masatoshi (Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University)
  • Published : 1999.10.01

Abstract

The support or automation of various kinds of intelligent work is urged at large, integrated control centers. Given this demand, a decision making system for wash timing of polluted insulators, applying the Bayesian rule theory, has been developed in order to support maintenance work in the power system. The results of this system application revealed that exact wash timing of the insulators could be determined automatically, equivalent in precision to judgement by skilled operators, thus contributing to further work efficiency.

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