Deep Learning Driven Approaches for Predictive Maintenance: A Framework of Intelligent Fault Diagnosis and Prognosis in the Industry 4.0 Era
dc.contributor.advisor | Wang, Kesheng | |
dc.contributor.advisor | Strandhagen, Jan Ola | |
dc.contributor.advisor | He, Yafei | |
dc.contributor.author | Li, Zhe | |
dc.date.accessioned | 2018-06-04T12:50:27Z | |
dc.date.available | 2018-06-04T12:50:27Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-82-326-3055-4 | |
dc.identifier.issn | 1503-8181 | |
dc.identifier.uri | http://hdl.handle.net/11250/2500192 | |
dc.language.iso | eng | nb_NO |
dc.publisher | NTNU | nb_NO |
dc.relation.ispartofseries | Doctoral theses at NTNU;2018:132 | |
dc.title | Deep Learning Driven Approaches for Predictive Maintenance: A Framework of Intelligent Fault Diagnosis and Prognosis in the Industry 4.0 Era | nb_NO |
dc.type | Doctoral thesis | nb_NO |
dc.subject.nsi | VDP::Technology: 500::Mechanical engineering: 570 | nb_NO |