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
Link To Document :
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