dc.contributor.author | Tucker, Peter | |
dc.contributor.author | Lewis, Kathleen | |
dc.date.accessioned | 2013-04-23T09:56:49Z | |
dc.date.available | 2013-04-23T09:56:49Z | |
dc.date.issued | 1989 | |
dc.identifier.citation | Tucker , P & Lewis , K 1989 , ' An expert system for shaking table diagnostics ' , Minerals Engineering , vol. 2 , no. 1 , pp. 87-92 . https://doi.org/10.1016/0892-6875(89)90067-8 | |
dc.identifier.other | ORCID: /0000-0002-1672-5968/work/38925981 | |
dc.identifier.uri | http://hdl.handle.net/2299/10482 | |
dc.description | Peter Tucker and Kathleen Lewis, ‘An expert system for shaking table diagnostics’, Minerals Engineering, (1989) Vol. 2(1): 87-92. The version of record is available online at doi: https://doi.org/10.1016/0892-6875(89)90067-8. Copyright © 1989 Published by Elsevier Ltd. | |
dc.description.abstract | An expert system, for fault diagnosis of shaking table operations, is presented. The system is designed as one element of an integrated, computer-based method for plant enhancement, for application in the mineral processing industry. The relationship between expert and conventional software techniques is discussed. The system is based on production rules and has been written in the PROLOG language. Diagnostics are at three levels: the first assessing the known table set-up parameters and the deeper levels providing more detailed analysis in identifying the root cause of the problem. | en |
dc.format.extent | 6 | |
dc.format.extent | 3161069 | |
dc.language.iso | eng | |
dc.relation.ispartof | Minerals Engineering | |
dc.subject | Minerals extraction | |
dc.subject | expert system | |
dc.subject | shaking table | |
dc.subject | heuristics | |
dc.subject | plant enhancement | |
dc.title | An expert system for shaking table diagnostics | en |
dc.contributor.institution | School of Life and Medical Sciences | |
dc.contributor.institution | Agriculture and Environment Research Unit | |
dc.contributor.institution | Centre for Climate Change Research (C3R) | |
dc.contributor.institution | Agriculture and Environmental Management Research | |
dc.contributor.institution | Agriculture, Food and Veterinary Sciences | |
dc.contributor.institution | Department of Psychology, Sport and Geography | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1016/0892-6875(89)90067-8 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |