DocumentCode :
2842298
Title :
Development of Multilevel Flow Model for power plant process fault diagnosis
Author :
Xiaojun, Gu ; Shixi, Yang ; Yun, Zhao ; Suxiang, Qian
Author_Institution :
Coll. of Mech. & Energy Eng., Zhejiang Univ., Hangzhou, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
189
Lastpage :
193
Abstract :
This paper presents the development of multilevel flow modeling (MFM)-a modeling method in means-end and part-whole way, for automatic real time fault diagnosis of power plant process failure. The MFM decomposes the complex plant process from the main goal to each component at multiple levels to represent the contribution of each component to the whole system to make clear how the main goal of the system is achieved. The plant process is described abstractly in function level by mass, energy and information flows, which represent the interaction between different components and enable the causal reasoning between functions according to the flow properties. Thus, in the abnormal status, a goal-function-component oriented fault diagnosis can be performed with the model at a very quick speed and abnormal alarms can be fully explained by the reasoning relationship of the model.
Keywords :
fault diagnosis; power plants; goal-function-component oriented fault diagnosis; multilevel flow model; power plant process fault diagnosis; Accidents; Algorithm design and analysis; Educational institutions; Fault diagnosis; Magnetic force microscopy; Man machine systems; Mechanical engineering; Power engineering and energy; Power generation; Power system modeling; fault diagnosis; human-machine interface system; multilevel flow model (MFM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5195110
Filename :
5195110
Link To Document :
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