• DocumentCode
    3495029
  • Title

    Construction of Ontology-based Safety Assessment System for Power Plants

  • Author

    Yang, ZongXiao ; Cheng, Chuanye ; Feng, Zhiqiang

  • Author_Institution
    Henan Univ. of Sci. & Technol., Luoyang
  • fYear
    2008
  • fDate
    6-8 April 2008
  • Firstpage
    1092
  • Lastpage
    1096
  • Abstract
    Dissimilar safety assessment systems use different conception and terminologies to describing the same object domain by respective system engineers, thus it is not easy to extract the knowledge from one system and apply it in another. An ontology-based method for construction of safety assessment system is introduced for power plants in this paper. The domain ontology knowledge base of different evaluated objectives is constructed according to Skeletal methodology, and providing an ontology model of fault characteristic for equipments that can be shared and reused in power plants. The proposed method can be used to the existing safety assessment system, reducing the fuzziness of primary information and enhancing the accuracy and credibility of safety assessment system.
  • Keywords
    ontologies (artificial intelligence); power engineering computing; power plants; safety; Skeletal methodology; domain ontology knowledge base; knowledge extraction; ontology model; power plants; safety assessment system; Knowledge engineering; OWL; Ontologies; Power engineering and energy; Power generation; Power system modeling; Power system reliability; Safety devices; Systems engineering and theory; Terminology; Domain ontology; Knowledge classification; Safety assessment system (SAS); Skeletal methodology; Web ontology language (OWL);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-1685-1
  • Electronic_ISBN
    978-1-4244-1686-8
  • Type

    conf

  • DOI
    10.1109/ICNSC.2008.4525379
  • Filename
    4525379