Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-2758
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Michau, Gabriel | - |
dc.contributor.author | Thomas, Palmé | - |
dc.contributor.author | Fink, Olga | - |
dc.date.accessioned | 2018-12-19T10:22:49Z | - |
dc.date.available | 2018-12-19T10:22:49Z | - |
dc.date.issued | 2017 | - |
dc.identifier.isbn | 978-1-936263-26-4 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/13981 | - |
dc.language.iso | en | de_CH |
dc.publisher | PHM Society | de_CH |
dc.rights | http://creativecommons.org/licenses/by/3.0/ | de_CH |
dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
dc.title | Deep feature learning network for fault detection and isolation | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
dc.identifier.doi | 10.21256/zhaw-2758 | - |
zhaw.conference.details | PHM 2017, St. Petersburg, USA, 2-5 October 2017 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 118 | de_CH |
zhaw.pages.start | 108 | de_CH |
zhaw.parentwork.editor | Bregon, Anibal | - |
zhaw.parentwork.editor | Daigle, Matthew J. | - |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.publication.review | Not specified | de_CH |
zhaw.title.proceedings | PHM 2017 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017 | de_CH |
Appears in collections: | Publikationen School of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2017_Fink_Deep Feature Learning Network_PHM Annual Conf.pdf | 680.32 kB | Adobe PDF | View/Open |
Show simple item record
Michau, G., Thomas, P., & Fink, O. (2017). Deep feature learning network for fault detection and isolation [Conference paper]. In A. Bregon & M. J. Daigle (Eds.), PHM 2017 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017 (pp. 108–118). PHM Society. https://doi.org/10.21256/zhaw-2758
Michau, G., Thomas, P. and Fink, O. (2017) ‘Deep feature learning network for fault detection and isolation’, in A. Bregon and M.J. Daigle (eds) PHM 2017 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. PHM Society, pp. 108–118. Available at: https://doi.org/10.21256/zhaw-2758.
G. Michau, P. Thomas, and O. Fink, “Deep feature learning network for fault detection and isolation,” in PHM 2017 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017, 2017, pp. 108–118. doi: 10.21256/zhaw-2758.
MICHAU, Gabriel, Palmé THOMAS und Olga FINK, 2017. Deep feature learning network for fault detection and isolation. In: Anibal BREGON und Matthew J. DAIGLE (Hrsg.), PHM 2017 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. Conference paper. PHM Society. 2017. S. 108–118. ISBN 978-1-936263-26-4
Michau, Gabriel, Palmé Thomas, and Olga Fink. 2017. “Deep Feature Learning Network for Fault Detection and Isolation.” Conference paper. In PHM 2017 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017, edited by Anibal Bregon and Matthew J. Daigle, 108–18. PHM Society. https://doi.org/10.21256/zhaw-2758.
Michau, Gabriel, et al. “Deep Feature Learning Network for Fault Detection and Isolation.” PHM 2017 : Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017, edited by Anibal Bregon and Matthew J. Daigle, PHM Society, 2017, pp. 108–18, https://doi.org/10.21256/zhaw-2758.
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