• DocumentCode
    2496830
  • Title

    Study on CLIPS-based real-time fault diagnosis system used in power plant

  • Author

    Dou, Dongyang ; Zhao, Yingkai

  • Author_Institution
    Nanjing Univ. of Technol., Nanjing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    7408
  • Lastpage
    7412
  • Abstract
    Information of faults in power plant is too much and very complex, mostly, it is difficult to deal with effectively when a breakdown takes place. In response to this situation, a method of designing a real-time fault diagnosis system based on CLIPS is presented in this paper. It takes full advantage of CLIPS, VC++ and SQL SERVER database to construct an expert system solving the diagnosis problem. CLIPS was used to edit the knowledge base and served as inference engine. Data acquisition, data exchanging within the system and interface of the system were programmed with VC++ and OPC. Dynamic process data, information of faults and so on were stored in SQL SERVER. The system was tested by a power plant simulation system based on virtual DCS. The result shows that it is able to watch and diagnose the real-time faults of boiler and steam turbine system of power plant correctly and quickly.
  • Keywords
    boilers; data acquisition; expert systems; fault diagnosis; inference mechanisms; power engineering computing; power plants; steam turbines; CLIPS; SQL SERVER database; VC++; boiler; data acquisition; data exchanging; diagnosis problem; dynamic process data; expert system solving; inference engine; knowledge base; power plant simulation system; real-time fault diagnosis system; steam turbine system; virtual DCS; Data acquisition; Databases; Design methodology; Diagnostic expert systems; Electric breakdown; Engines; Fault diagnosis; Power generation; Real time systems; System testing; CLIPS; Expert system; Fault diagnosis; Power plant; Virtual DCS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594073
  • Filename
    4594073