Neuro-fuzzy based fault diagnosis applied to an electro-pneumatic valve

Faisel J. Uppal, Ron J. Patton, Vasile Palade

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The early detection of faults (just beginning and still developing) can help avoid system shutdown, breakdown and even catastrophes involving human fatalities and material damage. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the properties of the TSK/Mamdani approaches and neuro-fuzzy (NF) fault diagnosis within an application study of an electro-pneumatic valve actuator in a sugar factory. The key issues of finding a suitable structure for detecting and isolating ten realistic actuator faults are described.

Original languageEnglish
Pages (from-to)477-482
Number of pages6
JournalIFAC-PapersOnLine
Volume15
Issue number1
DOIs
Publication statusPublished - 2002
Externally publishedYes

Keywords

  • Actuators
  • Fault diagnosis
  • Fault isolation
  • Fuzzy hybrid systems
  • Neuro-fuzzy networks

ASJC Scopus subject areas

  • Control and Systems Engineering

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