Paper Title:
Fault Diagnosis with Fuzzy Expert System
  Abstract

Locating the causes of malfunctions in complex energy systems is an extremely difficult task, more than one fault mode may produce similar and possibly undistinguishable patterns of effects. This paper shows how fuzzy expert systems can exploit the available measurements from the data acquisition system to identify different component and sensor fault modes. Real sensor data (mass flow rates, pressures, temperatures, and key operating parameters) are compared with the expected values of the same quantities that are calculated using numerical models of local subsystems. The final objective is to verify the existence of some patterns of these attributes that univocally identify the considered fault modes. These patterns are then implemented as the set of rules forming the knowledge based on fuzzy expert system.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
519-522
DOI
10.4028/www.scientific.net/AMM.48-49.519
Citation
Y. L. Ou, "Fault Diagnosis with Fuzzy Expert System", Applied Mechanics and Materials, Vols. 48-49, pp. 519-522, 2011
Online since
February 2011
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