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
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