Fuzzy Inductive Reasoning Model-Based Fault Detection Applied To A Commercial Aircraft  

Oleh:

Tur, Josep M. Mirats ; Garrido, Rafael M. Huber

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Simulation vol. 75 no. 4 (Apr. 1999), page 188-198.
Topik: Qualitative simulation and prediction; fault detection; inductive reasoning; decision-making; aircraft
Fulltext: 188.pdf (1.12MB)

Isi artikel

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 publications. The previously used crisp detection has been replaced by a new approach, based on the computation of an acceptability interval for each predicted variable.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 detect faults earlier and in a more reliable manner.

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