A framework for novelty detection in jet engine vibration data
A novelty detection approach to condition monitoring of aerospace gas-turbine engines is presented, providing a consistent framework for on- and off-line analysis, each with differing typical implementation constraints. On-line techniques are introduced for observing abnormality in engine behaviour...
| Autori principali: | , , |
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| Natura: | Conference item |
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2007
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| _version_ | 1826292749448511488 |
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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 | A novelty detection approach to condition monitoring of aerospace gas-turbine engines is presented, providing a consistent framework for on- and off-line analysis, each with differing typical implementation constraints. On-line techniques are introduced for observing abnormality in engine behaviour during aircraft flights, and are shown to provide early warning of engine events in real-time. Off-line techniques within the same analysis framework are shown to allow the tracking of single engines and fleets of engines from ground-based monitoring stations on a flight-by-flight basis. Results are validated by comparison to conventional techniques, in application to aerospace engines and other industrial high-integrity systems. |
| first_indexed | 2024-03-07T03:19:30Z |
| format | Conference item |
| id | oxford-uuid:b6f32b46-18bc-4df0-b1f4-726a0927a33e |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:19:30Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | oxford-uuid:b6f32b46-18bc-4df0-b1f4-726a0927a33e2022-03-27T04:44:51ZA framework for novelty detection in jet engine vibration dataConference itemhttp://purl.org/coar/resource_type/c_5794uuid:b6f32b46-18bc-4df0-b1f4-726a0927a33eSymplectic Elements at Oxford2007Clifton, DBannister, PTarassenko, LA novelty detection approach to condition monitoring of aerospace gas-turbine engines is presented, providing a consistent framework for on- and off-line analysis, each with differing typical implementation constraints. On-line techniques are introduced for observing abnormality in engine behaviour during aircraft flights, and are shown to provide early warning of engine events in real-time. Off-line techniques within the same analysis framework are shown to allow the tracking of single engines and fleets of engines from ground-based monitoring stations on a flight-by-flight basis. Results are validated by comparison to conventional techniques, in application to aerospace engines and other industrial high-integrity systems. |
| spellingShingle | Clifton, D Bannister, P Tarassenko, L A framework for novelty detection in jet engine vibration data |
| title | A framework for novelty detection in jet engine vibration data |
| title_full | A framework for novelty detection in jet engine vibration data |
| title_fullStr | A framework for novelty detection in jet engine vibration data |
| title_full_unstemmed | A framework for novelty detection in jet engine vibration data |
| title_short | A framework for novelty detection in jet engine vibration data |
| title_sort | framework for novelty detection in jet engine vibration data |
| work_keys_str_mv | AT cliftond aframeworkfornoveltydetectioninjetenginevibrationdata AT bannisterp aframeworkfornoveltydetectioninjetenginevibrationdata AT tarassenkol aframeworkfornoveltydetectioninjetenginevibrationdata AT cliftond frameworkfornoveltydetectioninjetenginevibrationdata AT bannisterp frameworkfornoveltydetectioninjetenginevibrationdata AT tarassenkol frameworkfornoveltydetectioninjetenginevibrationdata |