DocumentCode :
582928
Title :
Fault diagnosis design based on qualitative simulation
Author :
Chenxi Shao ; Zhenzhong Shao ; Juntao Zhang ; Fanzhou Bai
Author_Institution :
Coll. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
157
Lastpage :
161
Abstract :
Based on the QSIM reasoning of Kuipers, comparative constraint is presented to reduce the diagnosis space. The transfer regulation of qualitative constrain is used in the simulation and reasoning of system diagnosis. This arithmetic takes observed faulty state as the beginning, to diagnosis the discrepancy of variable and location of the causation according to the transfer regulation of qualitative constraint, reasons from faulty diagnosed to examine the result and delete the redundancy of diagnosis result. In the example of Condensation refrigeration system, the constraint relation is built according to qualitative difference equation. Aim at the bad efficiency of refrigeration, the mixture of air or Freon superfluously is diagnosed as the result faulty source, is consistent with the factual system.
Keywords :
condensation; failure analysis; fault diagnosis; gas mixtures; inference mechanisms; mechanical engineering computing; refrigeration; Freon mixture; QSIM reasoning; air mixture; causation location; comparative constraint; condensation refrigeration system; diagnosis result redundancy; diagnosis space reduction; factual system; fault diagnosis design; qualitative difference equation; qualitative simulation; system diagnosis; transfer regulation; Algebra; Circuit faults; Cognition; Differential equations; Educational institutions; Mathematical model; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-2144-1
Type :
conf
DOI :
10.1109/ICICIP.2012.6391507
Filename :
6391507
Link To Document :
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