dc.contributor.author | Ayo-Imoru, R.M. | |
dc.contributor.author | Cilliers, A.C. | |
dc.date.accessioned | 2017-11-17T09:39:21Z | |
dc.date.available | 2017-11-17T09:39:21Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Ayo-Imoru, R.M. & Cilliers, A.C. 2017. A survey of the state of condition-based maintenance (CBM) in the nuclear power industry. Annals of nuclear energy, 112:177-188. [https://doi.org/10.1016/j.anucene.2017.10.010] | en_US |
dc.identifier.issn | 0306-4549 | |
dc.identifier.issn | 1873-2100 (Online) | |
dc.identifier.uri | http://hdl.handle.net/10394/26073 | |
dc.identifier.uri | https://doi.org/10.1016/j.anucene.2017.10.010 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0306454917303365 | |
dc.description.abstract | Condition-based maintenance (CBM) involves undertaking maintenance activities based on the health of the system. CBM has found useful applications in many industries. This paper presents a survey on the state of condition-based maintenance in the nuclear industry. This is achieved by systematically looking at the major phases of CBM, which are monitoring, diagnostics and prognostics. A methodical review has been done on these aspects of CBM. This includes the current practices in the nuclear industry and the ongoing research on the different methods and technologies being developed. This will give maintenance stakeholders and researchers an overview of the current practices and extent of research undertaken on condition-based maintenance in the nuclear industry | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Condition-based maintenance | en_US |
dc.subject | Monitoring | en_US |
dc.subject | Diagnostics | en_US |
dc.subject | Prognostic | en_US |
dc.subject | Maintenance stakeholders | en_US |
dc.title | A survey of the state of condition-based maintenance (CBM) in the nuclear power industry | en_US |
dc.type | Article | en_US |
dc.contributor.researchID | 11858176 - Cilliers, Anthonie Christoffel | |
dc.contributor.researchID | 28103572 - Ayo-Imoru, Ronke Monica | |