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dc.contributor.authorAyele, Yonas Zewdu
dc.contributor.authorBarabadi, Abbas
dc.date.accessioned2018-03-02T13:35:30Z
dc.date.available2018-03-02T13:35:30Z
dc.date.issued2017-12-12
dc.description.abstractAbstract: To meet the availability target and reduce system downtime, effective maintenance have a great importance. However, maintenance performance is greatly affected in complex ways by human factors. Hence, to have an effective maintenance operation, these factors needs to be assessed and quantified. To avoid the inadequacies of traditional human error assessment (HEA) approaches, the application of Bayesian Networks (BN) is gaining popularity. The main purpose of this paper is to propose a HEA framework based on the BN for maintenance operation. The proposed framework aids for assessing the effects of human performance influencing factors on the likelihood of human error during maintenance activities. Further, the paper investigates how operational issues must be considered in system failure-rate analysis, maintenance planning, and prediction of human error in pre- and post-maintenance operations. The goal is to assess how performance monitoring and evaluation of human factors can effect better operation and maintenance.en_US
dc.descriptionOA institutional repositories, publisher's version /PDF. Link to publisher's version: <a href=http://doi.org/10.1088/1757-899X/276/1/012019>http://doi.org/10.1088/1757-899X/276/1/012019</a>en_US
dc.identifier.citationAyele YZ, Barabadi A. A practical guideline for human error assessment: A causal model. IOP Publishing. IOP Conference Series: Materials Science and Engineering vol 276 (2017).en_US
dc.identifier.issn1757-8981
dc.identifier.issn1757-899X
dc.identifier.otherFRIDAID 1522953
dc.identifier.other10.1088/1757-899X/276/1/012019
dc.identifier.urihttps://hdl.handle.net/10037/12242
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofseriesIOP Conference Series. Materials Science and Engineering 276 (2017)en_US
dc.relation.journalIOP Conference Series: Materials Science and Engineering
dc.relation.urihttp://iopscience.iop.org/article/10.1088/1757-899X/276/1/012019
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Teknologi: 500::Miljøteknologi: 610en_US
dc.titleA practical guideline for human error assessment: A causal modelen_US
dc.typePeer revieweden_US
dc.typeConference objecten_US
dc.typeKonferansebidragno


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