• DocumentCode
    3262486
  • Title

    Fault Diagnosis and Isolation Process of Gas Turbine Based on Fault Dependency

  • Author

    Liu Yongbao ; Ma Liangli ; Huang Shuhong

  • Author_Institution
    Dept. of Power Eng., Hua Zhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    441
  • Lastpage
    444
  • Abstract
    Fault diagnosis and isolation technology become the key part to guarantee a complex system running normally, such as marine gas turbine. This paper firstly defines fault dependency type and fault dependency relationship graph. Then the notion of fault dependency relationship matrix is given. Addressed to three different fault dependency types, we give the methods how to construct above matrix model and describe the algorithm to identify the relative faults. Based on these, we apply above model and algorithm to LM2500 marine gas turbine in the process of fault diagnosis and isolation. Then the conceptual architecture and fault tree is described. The implemented system interface is given applying above methods.
  • Keywords
    fault diagnosis; fault trees; gas turbines; marine vehicles; matrix algebra; LM2500 marine gas turbine; complex system; fault dependency relationship graph; fault dependency relationship matrix; fault dependency relationship model; fault dependency type; fault diagnosis; fault isolation; fault tree; Degradation; Educational institutions; Engines; Fault diagnosis; Information analysis; Isolation technology; Optimization methods; Power engineering and energy; Power engineering computing; Turbines; fault; fault dependency matrix; fault diagnosis and isolation; gas turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.147
  • Filename
    5230929