• DocumentCode
    2355086
  • Title

    ASISTO: An integrated intelligent assistant system for power plant operation and training

  • Author

    Reyes, Alberto ; Ibarguengoytia, Pablo H. ; Elizalde, Francisco ; Sánchez, Liliana ; Nava, Alondra

  • Author_Institution
    Inst. de Investig. Electr., Morelos, Mexico
  • fYear
    2011
  • fDate
    25-28 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present ASISTO, an intelligent assistant system for power plant operation and training based on probabilistic graphical models. Its main advantage is that it provides on-line guidance in the form of ordered recommendations, sensor validation capabilities, and explanation features, all for uncertain environments. The system allows dealing with abnormal situations, non-expected events, or the occurrence of process transients. The different modules of the system are based on Markov decision processes, Bayesian networks, and knowledge representation using the object-oriented paradigm. Functional results for each component of ASISTO using a power plant simulator are also presented.
  • Keywords
    Markov processes; belief networks; computer based training; graph theory; knowledge representation; object-oriented programming; power engineering computing; power plants; probability; ASISTO; Bayesian networks; Markov decision processes; integrated intelligent assistant system; knowledge representation; nonexpected events; object-oriented paradigm; on-line guidance; power plant operation; power plant simulator; power plant training; probabilistic graphical models; sensor validation capability; Artificial intelligence; Control systems; Power generation; Recommender systems; Training; Transient analysis; Valves; Intelligent Assistant Systems; power plants; probabilistic graphical models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Application to Power Systems (ISAP), 2011 16th International Conference on
  • Conference_Location
    Hersonissos
  • Print_ISBN
    978-1-4577-0807-7
  • Electronic_ISBN
    978-1-4577-0808-4
  • Type

    conf

  • DOI
    10.1109/ISAP.2011.6082189
  • Filename
    6082189