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Assessment of an Anomaly Detector for Jet Engine Health Monitoring
Joint Authors
Borguet, Sebastien
Léonard, Olivier
Source
International Journal of Rotating Machinery
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The goal of module performance analysis is to reliably assess the health of the main components of an aircraft engine.
A predictive maintenance strategy can leverage this information to increase operability and safety as well as to reduce costs.
Degradation undergone by an engine can be divided into gradual deterioration and accidental events.
Kalman filters have proven very efficient at tracking progressive deterioration but are poor performers in the face of abrupt events.
Adaptive estimation is considered as an appropriate solution to this deficiency.
This paper reports the evaluation of the detection capability of an adaptive diagnosis tool on the basis of simulated scenarios that may be encountered during the operation of a commercial turbofan engine.
The diagnosis tool combines a Kalman filter and a secondary system that monitors the residuals.
This auxiliary component implements a generalised likelihood ratio test in order to detect abrupt events.
American Psychological Association (APA)
Borguet, Sebastien& Léonard, Olivier. 2011. Assessment of an Anomaly Detector for Jet Engine Health Monitoring. International Journal of Rotating Machinery،Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-510128
Modern Language Association (MLA)
Borguet, Sebastien& Léonard, Olivier. Assessment of an Anomaly Detector for Jet Engine Health Monitoring. International Journal of Rotating Machinery No. 2011 (2011), pp.1-11.
https://search.emarefa.net/detail/BIM-510128
American Medical Association (AMA)
Borguet, Sebastien& Léonard, Olivier. Assessment of an Anomaly Detector for Jet Engine Health Monitoring. International Journal of Rotating Machinery. 2011. Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-510128
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510128