An evaluation of a real-time fault diagnosis expert system for aircraft applications

Schutte, Paul C.; Abbott, Kathy; Palmer, Michael T.; Ricks, Wendell R.

doi:10.1109/cdc.1987.272874

Cited by 13 publications

(2 citation statements)

References 2 publications

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“…A generic, yet realistic, modelling of the dynamics of aerospace vehicles has been presented in this article. Fault modes that may affect their sensors and [74] Small computational cost Very system-dependent actuators have been discussed and modelled. The key points of FDD approaches that are applicable in this context have been explained, focusing on modelbased methods but also including a short overview of model-free methods that may be useful when models are inaccurate or unavailable.…”

Section: Discussionmentioning

confidence: 99%

Model-based fault diagnosis for aerospace systems: a survey

Marzat

Piet-Lahanier

Damongeot

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part G:

222

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http://pig.sagepub.com/content/early/2012/01/06/0954410011421717International audienceThis survey of model-based fault diagnosis focuses on those methods that are applicable to aerospace systems. To highlight the characteristics of aerospace models, generic nonlinear dynamical modeling from flight mechanics is recalled and a unifying representation of sensor and actuator faults is presented. An extensive bibliographical review supports a description of the key points of fault detection methods that rely on analytical redundancy. The approaches that best suit the constraints of the field are emphasized and recommendations for future developments in in-flight fault diagnosis are provided

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Section: Discussionmentioning

confidence: 99%

Model-based fault diagnosis for aerospace systems: a survey

Marzat

Piet-Lahanier

Damongeot

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part G:

222

View full text Add to dashboard Cite

show abstract

“…The work of Abbott's group on operative diagnosis in civilian aviation (Schutte et al 1987;Abbott 1988) is another example of where qualitative models have proven to be useful. Few accurate numerical fault models of failures in turbofan aircraft engines have been developed.…”

Section: When Qualitative Is Bettermentioning

confidence: 99%