Reliability assessment and improvement of medium power induction motor winding insulation protection system using predictive analysis

dc.contributor.authorChafai, M.
dc.contributor.authorRefoufi, L.
dc.contributor.authorBentarzi, Hamid
dc.date.accessioned2015-04-23T11:16:34Z
dc.date.available2015-04-23T11:16:34Z
dc.date.issued2009
dc.description.abstractThis chapter presents a reliability assessment of a widely used protection system of medium-power squirrel cage induction motors. In conjunction with published field induction motors reliability data, this assessment effort is based on a predictive analysis integrating three predictive techniques: (1) a fault tree analysis (FTA) that allows to identify and then quantify the initiating events weighting factors; (2) an event tree analysis (ETA) that allows to predict the protection system probability outcomes following an external disturbance; and (3) a failure mode effect and criticality analysis (FMECA) that will help set the stage to develop a preventive maintenance program fit to keep up the induction motor protection system reliability at the required level with particular attention given to aggressive environmental factors such as found in cement plantsen_US
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/547
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesAdvances in Numerical Methods Lecture Notes in Electrical Engineering/ Vol.11(2009);pp. 367-378
dc.subjectFailure modesen_US
dc.subjectReliabilityen_US
dc.subjectProtectionen_US
dc.subjectInduction motorsen_US
dc.subjectFMECAen_US
dc.subjectETAen_US
dc.subjectFTAen_US
dc.titleReliability assessment and improvement of medium power induction motor winding insulation protection system using predictive analysisen_US
dc.typeArticleen_US

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