Fault Diagnosis in Industrial Systems via Causality Graphs

Journal Title: RECENT - Year 2012, Vol 13, Issue 36

Abstract

Some enhanced methods for definition of the diagnosis problems as well as for the creation of logic-based qualitative description of dynamical industrial processes are developed in the presented paper. Specific techniques for application of causality graphs structures for enhanced Fault Diagnosis (FD) in dynamic industrial systems are also proposed. A specific diagnosis algorithm DIACAUSE as well as a particular causality graph structure were developed and respectively implemented for enhanced FD in a real industrial system for treatment of technologic liquids in a hot dip galvanizing plant.

Authors and Affiliations

Konstantin DIMITROV

Keywords

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  • EP ID EP87125
  • DOI -
  • Views 89
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How To Cite

Konstantin DIMITROV (2012). Fault Diagnosis in Industrial Systems via Causality Graphs. RECENT, 13(36), 267-272. https://europub.co.uk./articles/-A-87125