Application of an intuitive novelty metric for jet engine condition monitoring
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 examp...
| Hauptverfasser: | , , |
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| Format: | Conference item |
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2006
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| _version_ | 1826293612736937984 |
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| author | Clifton, D Bannister, P Tarassenko, L |
| author_facet | Clifton, D Bannister, P Tarassenko, L |
| author_sort | Clifton, D |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T03:32:49Z |
| format | Conference item |
| id | oxford-uuid:bb4a525c-04b4-4fb9-aa3c-4bf81b960331 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:32:49Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | oxford-uuid:bb4a525c-04b4-4fb9-aa3c-4bf81b9603312022-03-27T05:15:56ZApplication of an intuitive novelty metric for jet engine condition monitoringConference itemhttp://purl.org/coar/resource_type/c_5794uuid:bb4a525c-04b4-4fb9-aa3c-4bf81b960331Symplectic Elements at Oxford2006Clifton, DBannister, PTarassenko, LApplication 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. |
| spellingShingle | Clifton, D Bannister, P Tarassenko, L Application of an intuitive novelty metric for jet engine condition monitoring |
| title | Application of an intuitive novelty metric for jet engine condition monitoring |
| title_full | Application of an intuitive novelty metric for jet engine condition monitoring |
| title_fullStr | Application of an intuitive novelty metric for jet engine condition monitoring |
| title_full_unstemmed | Application of an intuitive novelty metric for jet engine condition monitoring |
| title_short | Application of an intuitive novelty metric for jet engine condition monitoring |
| title_sort | application of an intuitive novelty metric for jet engine condition monitoring |
| work_keys_str_mv | AT cliftond applicationofanintuitivenoveltymetricforjetengineconditionmonitoring AT bannisterp applicationofanintuitivenoveltymetricforjetengineconditionmonitoring AT tarassenkol applicationofanintuitivenoveltymetricforjetengineconditionmonitoring |