• DocumentCode
    724303
  • Title

    The design of the building electrical fault diagnosis system based on multi-agent

  • Author

    Chen Fangwen ; Wang Yahui ; Shen Li ; Liu Chao ; Ding Mingjia

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Beijing Univ. of Civil Eng. & Archit., Beijing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    3345
  • Lastpage
    3349
  • Abstract
    At present, the researches focusing on the field of fault diagnosis have made great achievements. But the effective fault diagnosis methods are rarely specific to the electrical fault of modern buildings. Our team has made researches on it and several fault diagnosis methods have been developed. In this paper, we focused on the design of the whole fault diagnosis system. The building electrical platform is selected as the research object, and we design a building electrical fault diagnosis system based on multi-Agent. The designed system consists of three main subsystems: monitoring subsystem, Agent subsystem and user interface subsystem. With those fault diagnosis methods running on it, the system can achieve condition monitoring and fault diagnosis automatically and efficiently. Also, the system has good acclimatization.
  • Keywords
    building wiring; electrical engineering computing; electrical faults; electrical installation; fault diagnosis; multi-agent systems; power system measurement; agent subsystem; building electrical fault diagnosis system design; condition monitoring; monitoring subsystem; multi-agent; user interface subsystem; Buildings; Circuit faults; Cognition; Fault diagnosis; Monitoring; Neural networks; User interfaces; Building Electrical; Fault Diagnosis; Multi-Agent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162498
  • Filename
    7162498