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dc.contributor.otherSIS-TECH Solutions
dc.contributor.otherProcess Reliability Solutions
dc.creatorAhammad, Monir
dc.creatorHatanaka, Logan
dc.creatorJin, Hui
dc.creatorLapeyrouse, Keith
dc.creatorRoche, Eloise
dc.date.accessioned2021-06-14T20:45:34Z
dc.date.available2021-06-14T20:45:34Z
dc.date.issued2016
dc.identifier.urihttps://hdl.handle.net/1969.1/193616
dc.descriptionPresentationen
dc.description.abstractThis paper presents the results of the first phase of the pressure transmitter reliability data project executed by the Mary Kay O’Connor Process Safety Center’s (MKOPSC) Instrument Reliability Network (IRN). The quality of the data provided by the six participating companies was checked using self-reporting criteria submitted with each dataset. Out of sixteen reported datasets, only one was excluded due to no devices included in the dataset. The remaining fifteen datasets were used for this analysis. The mean time between corrective maintenance (MTBCM) of the pressure transmitters for the six contributing companies were compared to each other. Even with the limited taxonomy used for this first project phase, it could be concluded that there was a significant difference in corrective maintenance performance between the participating companies and that the company performance seemed to fall into two distinct groups. In addition, it was observed that there could be significant MTBCM variability between multiple datasets submitted by a company, potentially associated to taxonomy details not included in this study.en
dc.format.extent10 pagesen
dc.languageeng
dc.publisherMary Kay O'Connor Process Safety Center
dc.relation.ispartofMary K O'Connor Process Safety Symposium. Proceedings 2016.en
dc.rightsIN COPYRIGHT - EDUCATIONAL USE PERMITTEDen
dc.rights.urihttp://rightsstatements.org/vocab/InC-EDU/1.0/
dc.subjectpressure transmitteren
dc.titleLearnings from Mary Kay O’Connor Process Safety Center (MKOPSC) Instrument Reliability Network’s Project on Pressure Transmitter Maintenance Data Collectionen
dc.type.genrePapersen
dc.format.digitalOriginborn digitalen
dc.publisher.digitalTexas &M University. Libraries


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