Fault diagnosis using algorithmic redundancy

M. Ghetie, D. Sauter, H. Noura, M. Saif

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This paper introduces the concept of algorithmic redundancy used in fault diagnosis. Its implementation is illustrated with three examples: a statistical limit checking test, a fault detection and isolation method based on balance equations, and a fuzzy alarm generator. These three methods are integrated in a hierarchical diagnostic architecture that is used to validate the concept with simulation results.

Original languageEnglish
Pages (from-to)201-220
Number of pages20
JournalJournal of Intelligent and Fuzzy Systems
Issue number3
Publication statusPublished - 2000
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • General Engineering
  • Artificial Intelligence


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