Development of Water Chemistry Diagnostic System for BWRs Using Fuzzy Reasoning.

• IGARASHI Hiroo

  Nuclear Power Plant Engineering Department, Hitachi Engineering Co., Ltd.

• HAYASHI Yoichi

  Department of Computer and Information Sciences, Ibaraki University Meiji University

• SAKATA Masateru

  System Research Laboratory, Hitachi Engineering Co., Ltd.

• KOYA Hiroshi

  System Research Laboratory, Hitachi Engineering Co., Ltd.

• FUKUMOTO Toshihiko

  Nuclear Power Plant Engineering Department, Hitachi Engineering Co., Ltd.

抄録

A diagnostic system for BWR water chemistry has been developed incorporating high-speed fuzzy reasoning, holding in view preventive maintenance as principal objective.<BR>The system combines two expert systems-one for detecting an anomaly in the plant operating condition and quickly inferring its cause in a preliminary analysis, and the other performing a detailed diagnosis of the detected anomaly.<BR>The system for anomaly detection and quick preliminary diagnosis infers the occurrence of various anomalies and their causes from the fuzzy relation existing between the fuzzy causes and symptoms, applying a high-speed method for solving the inverse problem of fuzzy correspondence. The system can be run on a small size computer, and is thus conveniently adapted to practical application at machine side.<BR>The system for detailed diagnosis incorporates the expertise of water chemistry engineers, and outputs pertinent information and data to guide operators.<BR>Trial application of the system using data from actual plant operation conclusively demonstrated its effectiveness as a practical preventive maintenance system for actual plants.

収録刊行物

• Ｊｏｕｒｎａｌ　ｏｆ　Ｎｕｃｌｅａｒ　Ｓｃｉｅｎｃｅ　ａｎｄ　Ｔｅｃｈｎｏｌｏｇｙ（日本原子力学会英文論文誌）

  Ｊｏｕｒｎａｌ　ｏｆ　Ｎｕｃｌｅａｒ　Ｓｃｉｅｎｃｅ　ａｎｄ　Ｔｅｃｈｎｏｌｏｇｙ（日本原子力学会英文論文誌） 31 (10), 1023-1037, 1994

  一般社団法人 日本原子力学会

キーワード

• water chemistry
• BWR type reactors
• fuzzy logic
• inverse problem
• anomaly detection
• expert systems
• diagnostic system
• conductivity
• chlorine
• condensate demineralizer

詳細情報

• CRID: 1390001204093990784
• NII論文ID: 130000825727
• DOI: 10.3327/jnst.31.1023
• COI: 1:CAS:528:DyaK2cXmvVyhsbY%3D
• ISSN: 18811248
• ISSN: 00223131
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可