Support vector novelty detection applied to jet engine vibration spectra
2001
Conference Paper
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A system has been developed to extract diagnostic information from jet engine carcass vibration data. Support Vector Machines applied to novelty detection provide a measure of how unusual the shape of a vibration signature is, by learning a representation of normality. We describe a novel method for Support Vector Machines of including information from a second class for novelty detection and give results from the application to Jet Engine vibration analysis.
Author(s): | Hayton, P. and Schölkopf, B. and Tarassenko, L. and Anuzis, P. |
Book Title: | Advances in Neural Information Processing Systems 13 |
Journal: | Advances in Neural Information Processing Systems |
Pages: | 946-952 |
Year: | 2001 |
Month: | April |
Day: | 0 |
Editors: | TK Leen and TG Dietterich and V Tresp |
Publisher: | MIT Press |
Department(s): | Empirical Inference |
Bibtex Type: | Conference Paper (inproceedings) |
Event Name: | 14th Annual Neural Information Processing Systems Conference (NIPS 2000) |
Event Place: | Denver, CO, USA |
Address: | Cambridge, MA, USA |
Digital: | 0 |
ISBN: | 0-262-12241-3 |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
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BibTex @inproceedings{1840, title = {Support vector novelty detection applied to jet engine vibration spectra}, author = {Hayton, P. and Sch{\"o}lkopf, B. and Tarassenko, L. and Anuzis, P.}, journal = {Advances in Neural Information Processing Systems}, booktitle = {Advances in Neural Information Processing Systems 13}, pages = {946-952}, editors = {TK Leen and TG Dietterich and V Tresp}, publisher = {MIT Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Cambridge, MA, USA}, month = apr, year = {2001}, doi = {}, month_numeric = {4} } |