dc.contributor.author | Li, Zhe | |
dc.contributor.author | Wang, Yi | |
dc.contributor.author | Wang, Kesheng | |
dc.date.accessioned | 2019-03-29T09:24:14Z | |
dc.date.available | 2019-03-29T09:24:14Z | |
dc.date.created | 2018-01-01T07:03:44Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Advances in Manufacturing. 2017, 5 (4), 377-387. | nb_NO |
dc.identifier.issn | 2095-3127 | |
dc.identifier.uri | http://hdl.handle.net/11250/2592381 | |
dc.description.abstract | Fault diagnosis and prognosis in mechanical systems have been researched and developed in the last few decades at a very rapid rate. However, owing to the high complexity of machine centers, research on improving the accuracy and reliability of fault diagnosis and prognosis via data mining remains a prominent issue in this field. This study investigates fault diagnosis and prognosis in machine centers based on data mining approaches to formulate a systematic approach and obtain knowledge for predictive maintenance in Industry 4.0 era. We introduce a system framework based on Industry 4.0 concepts, which includes the process of fault analysis and treatment for predictive maintenance in machine centers. The framework includes five modules: sensor selection and data acquisition module, data preprocessing module, data mining module, decision support module, and maintenance implementation module. Furthermore, a case study is presented to illustrate the application of the data mining methods for fault diagnosis and prognosis in machine centers as an Industry 4.0 scenario. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer Verlag | nb_NO |
dc.subject | Data mining (DM), Machine centers, Predictive maintenance, Industry 4.0 | nb_NO |
dc.title | Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 377-387 | nb_NO |
dc.source.volume | 5 | nb_NO |
dc.source.journal | Advances in Manufacturing | nb_NO |
dc.source.issue | 4 | nb_NO |
dc.identifier.doi | 10.1007/s40436-017-0203-8 | |
dc.identifier.cristin | 1533230 | |
cristin.unitcode | 194,64,92,0 | |
cristin.unitname | Institutt for maskinteknikk og produksjon | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |