Analysis of short form maintenance records for NFF using NLP, phrase matching, and Bayesian learning

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dc.contributor.authorPelham, Jonathan G.
dc.contributor.authorHockley, Chris
dc.date.accessioned2017-04-26T08:51:02Z
dc.date.available2017-04-26T08:51:02Z
dc.date.issued2017-03-02
dc.description.abstractNo Fault Found (NFF) is a well discussed phenomenon within the maintenance sector but which requires work to quantify how much of an issue it may be and provide metrics by which it may be tracked and various approaches to its reduction evaluated. Previous studies have relied on expert classification to identify NFF, however this approach is time consuming and costly. Maintainer classification (MC), expert classification (RC), phrase matching (PM), and Bayesian matching (NBPM) are all evaluated and contrasted as methods to identify NFF. The results demonstrate the utility of all 4 methods and discusses their place within a maintenance ecosystem.en_UK
dc.identifier.citationPelham J, Hockley C, Analysis of short form maintenance records for NFF using NLP, phrase matching, and Bayesian learning, Procedia CIRP, Volume 59, 2017, Pages 257-262en_UK
dc.identifier.issn2212-8271
dc.identifier.urihttps://doi.org/10.1016/j.procir.2016.10.123
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/11816
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International (CC BY 4.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectNFFen_UK
dc.subjectNo Fault Founden_UK
dc.subjectNLPen_UK
dc.subjectMaintenanceen_UK
dc.subjectBayesen_UK
dc.titleAnalysis of short form maintenance records for NFF using NLP, phrase matching, and Bayesian learningen_UK
dc.typeArticleen_UK

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