Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
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 simulatin...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2000 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/30524 |
| Acceso en línea: | http://hdl.handle.net/10261/30524 |
| Access Level: | acceso abierto |
| Palabra clave: | Aualitative simulation and prediction Fault detection Inductive reasoning Decision-making Aircraft |
| Sumario: | 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 The previously used crisp detection has been replaced by a new approach, based on the computation of an acceptability interval for each predicted variable.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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