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...

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Detalles Bibliográficos
Autores: Mirats-Tur, Josep M., Huber Garrido, Rafael
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
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spelling Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraftMirats-Tur, Josep M.Huber Garrido, RafaelAualitative simulation and predictionFault detectionInductive reasoningDecision-makingAircraftThis 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 The previously used crisp detection has been replaced by a new approach, based on the computation of an acceptability interval for each predicted variable.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.This work was supported by the project 'Seguridad de funcionamiento en sistemas dinámicos complejos' (J-00289).Peer ReviewedSage Publications201020102000info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/30524reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1177/003754970007500401info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/305242026-05-22T06:33:51Z
dc.title.none.fl_str_mv Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
title Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
spellingShingle Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
Mirats-Tur, Josep M.
Aualitative simulation and prediction
Fault detection
Inductive reasoning
Decision-making
Aircraft
title_short Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
title_full Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
title_fullStr Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
title_full_unstemmed Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
title_sort Fuzzy inductive reasoning model-based fault detection applied to a commercial aircraft
dc.creator.none.fl_str_mv Mirats-Tur, Josep M.
Huber Garrido, Rafael
author Mirats-Tur, Josep M.
author_facet Mirats-Tur, Josep M.
Huber Garrido, Rafael
author_role author
author2 Huber Garrido, Rafael
author2_role author
dc.subject.none.fl_str_mv Aualitative simulation and prediction
Fault detection
Inductive reasoning
Decision-making
Aircraft
topic Aualitative simulation and prediction
Fault detection
Inductive reasoning
Decision-making
Aircraft
description 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.
publishDate 2000
dc.date.none.fl_str_mv 2000
2010
2010
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/30524
url http://hdl.handle.net/10261/30524
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1177/003754970007500401
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Sage Publications
publisher.none.fl_str_mv Sage Publications
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.228081

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