XAI Sustainable Human in the Loop Maintenance
dc.contributor.author | Turner, C | |
dc.contributor.author | Okorie, O | |
dc.contributor.author | Oyekan, J | |
dc.date.accessioned | 2022-10-03T07:52:38Z | |
dc.date.issued | 2022-09-27 | |
dc.date.updated | 2022-10-01T16:26:40Z | |
dc.description.abstract | The field of Explainable Artificial Intelligence (XAI) is a relatively new approach to AI, with the aim to provide black box algorithms with human intelligible narrative functionality. It is most often in end-of-life considerations of the asset lifecycle that sustainability issues are encountered. Modern maintenance practice requires a holistic understanding of lifecycle and options for sustainable asset treatments. human in the loop solutions offer a way to leverage both machine and human skill sets to provide the next level of automaton solutions for industrial maintenance activities. This paper presents a framework for human in the loop Intelligent and Sustainable Maintenance. In bridging the gap between machines and humans XAI leverages the best of both worlds to provide a new level of agility to cyber assisted maintenance activities and full lifecycle consideration of assets; a notion that is necessary throughout the organization in the achievement of sustainability goals set by governments around the world in the achievement of a net zero carbon emission economy. | en_GB |
dc.format.extent | 67-72 | |
dc.identifier.citation | Vol. 55(19), pp. 67-72 | en_GB |
dc.identifier.doi | https://doi.org/10.1016/j.ifacol.2022.09.185 | |
dc.identifier.uri | http://hdl.handle.net/10871/131060 | |
dc.identifier | ORCID: 0000-0002-5210-9951 (Okorie, Okechukwu) | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier / International Federation of Automatic Control (IFAC) | en_GB |
dc.rights | © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) | en_GB |
dc.subject | Human in the loop | en_GB |
dc.subject | Intelligent maintenance systems | en_GB |
dc.subject | Industry 5.0 | en_GB |
dc.subject | Predictive maintenance | en_GB |
dc.subject | Operator 5.0 | en_GB |
dc.title | XAI Sustainable Human in the Loop Maintenance | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-10-03T07:52:38Z | |
dc.identifier.issn | 2405-8963 | |
dc.description | This is the final version. Available on open access from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | IFAC-PapersOnLine | en_GB |
dc.relation.ispartof | IFAC-PapersOnLine, 55(19) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-01-01 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-10-03T07:50:08Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-10-03T07:53:54Z | |
refterms.panel | B | en_GB |
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