Conference item

Application of an intuitive novelty metric for jet engine condition monitoring

Abstract:: Application of novelty detection to a new class of jet engine is considered within this paper, providing a worked example of the steps necessary for constructing a model of normality. Abnormal jet engine vibration signatures are automatically identified with respect to a training set of normal examples. Pre-processing steps suitable for this area of application are investigated. An intuitive metric for assigning novelty scores to patterns is introduced, with benefits for reducing model sensitivity to noise, and in pruning patterns from the model training set. © Springer-Verlag Berlin Heidelberg 2006.

Publication status:: Published

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APA Style

Clifton, D., Bannister, P., & Tarassenko, L. (2006). Application of an intuitive novelty metric for jet engine condition monitoring. ADVANCES IN APPLIED ARTICIAL INTELLIGENCE, PROCEEDINGS, 4031, 1149–1158.

MLA Style

Clifton, D., et al. “Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring.” ADVANCES IN APPLIED ARTICIAL INTELLIGENCE, PROCEEDINGS, vol. 4031, 2006, pp. 1149–58.

Chicago Style

Clifton, D, P Bannister, and L Tarassenko. 2006. “Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring.” In ADVANCES IN APPLIED ARTICIAL INTELLIGENCE, PROCEEDINGS, 4031:1149–58.
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Publisher copy:: 10.1007/11779568_122

Authors

+ Clifton, D More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Role:: Author

+ Bannister, P More by this author

Role:: Author

+ Tarassenko, L More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Sub department:: Institute of Biomedical Engineering
Role:: Author

Host title:: ADVANCES IN APPLIED ARTICIAL INTELLIGENCE, PROCEEDINGS
Volume:: 4031
Pages:: 1149-1158
Publication date:: 2006-01-01
DOI:: 10.1007/11779568_122
EISSN:: 1611-3349
ISSN:: 0302-9743
ISBN:: 3540354530

Keywords:: jet engine application

novelty detection

machine learning
Pubs id:: pubs:61669
UUID:: uuid:bb4a525c-04b4-4fb9-aa3c-4bf81b960331
Local pid:: pubs:61669
Source identifiers:: 61669
Deposit date:: 2013-11-17

Terms of use

Copyright date:: 2006

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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