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Semi-qualitative Encoding of Manifestations at Faults in Conductive Flow Systems

  • Viorel Ariton
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)

Abstract

A complex system in industry is often a conductive flow system. Its abnormal behaviour is difficult to manage due to incomplete and imprecise knowledge on it, also due to propagated effects that appear at faults. Human experts use knowledge from practice to represent abnormal ranges as interval values but they have poor knowledge on variables with no direct link to target system’s goals. The paper proposes a new fuzzy arithmetic, suited to calculate abnormal ranges at test points located far deep in the conductive flow structure of the target system. It uses a semiqualitative encoding of manifestations at faults, and exploits the negative correlation of the power variables (pressure like and flow-rate like) in faulty cases. The method is compared to other approaches and it is tested on a practical case.

Keywords

Fuzzy Number Fault Diagnosis Test Point Human Expert Fuzzy Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Viorel Ariton
    • 1
  1. 1.“Danubius” University from GalatiGalatiRomania

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