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Fuzzy Inductive Reasoning Model-Based Fault Detection Applied to a Commercial Aircraft

Institut de Robòtica i Informàtica Industrial C. Gran Capità, 2-4, 2a pl. Ed. Nexus 08034 Barcelona, Spain

Rafael M. Huber Garrido

Institut de Robòtica i Informàtica Industrial C. Gran Capità, 2-4, 2a pl. Ed. Nexus 08034 Barcelona, Spain

This paper concentrates on progress made in fault detection using the Fuzzy Inductive Reasoning (FIR) methodology. The so-called envelope approach is presented and compared with previous research efforts published by the same group in SIMULATION in 1989 and 1994. The comparison is achieved simulating faults in a B-747 commercial aircraft, the same example that had been used in the previous pub lications. The previously used crisp detection has been replaced by a new approach, based on the computation of an acceptability interval for each predicted variable. The paper demonstrates the improved capabilities of the new approach to de tect faults earlier and in a more reliable manner.

Key Words: Qualitative simulation and prediction • fault detection • inductive reasoning • decision-making • aircraft

SIMULATION, Vol. 75, No. 4, 188-198 (2000)
DOI: 10.1177/003754970007500401


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