• DocumentCode
    2298403
  • Title

    On-line Fault Diagnosis Model of the Hydropower Units Based on MAS

  • Author

    Jiaping, Liao ; Bo, Fu ; Yu, Chen

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Hubei Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    7-9 July 2009
  • Firstpage
    470
  • Lastpage
    476
  • Abstract
    The paper introduced a novel on-line fault diagnosis system model of the hydropower units based on multi-agent system. In allusion to the classical MAS-based fault diagnosis model, it proposes a new function of information interactive between the mission-controlled subsystem and the task decomposition subsystem to increase the transmission rate of control signals and designs the status-monitoring subsystem to detect the abnormal signals directly from local to increase the fault diagnostic sensitivity. In the fault-diagnosis subsystem, a multi-agent interactive parallel structure is designed to meet the requirements of the high reliability and good real-time. A Java-based language so called as JAFMAS is used to build a multi-agent cooperation platform. Experimental results show the effectiveness and feasibility of the proposed method.
  • Keywords
    Java; fault diagnosis; hydroelectric power; maintenance engineering; multi-agent systems; JAFMAS; Java-based language; MAS; hydropower units; mission-controlled subsystem; multi-agent interactive parallel structure; multiagent cooperation; multiagent system; on-line fault diagnosis model; task decomposition subsystem; Conferences; Data acquisition; Fault detection; Fault diagnosis; Hydroelectric power generation; Multiagent systems; Pervasive computing; Signal design; Signal detection; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4244-4902-6
  • Electronic_ISBN
    978-0-7695-3737-5
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2009.106
  • Filename
    5319192