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dc.contributor.authorCilliers, Anthonie Christoffel
dc.date.accessioned2015-03-19T07:54:21Z
dc.date.available2015-03-19T07:54:21Z
dc.date.issued2013
dc.identifier.citationCilliers, A.C. 2013. Correlating hardware fault detection information from distributed control systems to isolate and diagnose a fault in pressurised water reactors. Annals of nuclear energy. 54:91-103. [http://www.journals.elsevier.com/annals-of-nuclear-energy/]en_US
dc.identifier.issn0306-4549
dc.identifier.urihttp://hdl.handle.net/10394/13588
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0306454912004203
dc.identifier.urihttp://dx.doi.org/10.1016/j.anucene.2012.10.020
dc.description.abstractEarly fault identification systems enable detecting and diagnosing early onset faults or fault causes which allow maintenance planning on the equipment showing signs of deterioration or failure. This includes valve and leaks and small cracks in steam generator tubes usually detected by means of ultrasonic inspection. We have shown (Cilliers and Mulder, 2012) that detecting faults early during transient operation in NPPs is possible when coupled with a reliable reference to compare plant measurements with during transients. The problem introduced by the distributed application of control systems operating independently to keep the plant operating within the safe operating boundaries was solved by re-introducing the fault information it into the measurement data, thereby improving plant diagnostic performance. This paper introduces the use of improved fault detection information received from all distributed systems in the plant control system and correlating the information to not only detect the fault but also to diagnose it based on the location and magnitude of the fault cause.en_US
dc.description.urihttp://www.journals.elsevier.com/annals-of-nuclear-energy/
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectFaulten_US
dc.subjectdetectionen_US
dc.subjectdiagnoseen_US
dc.subjectpressurised water reactoren_US
dc.subjectdistributed controlen_US
dc.subjectperformanceen_US
dc.titleCorrelating hardware fault detection information from distributed control systems to isolate and diagnose a fault in pressurised water reactorsen_US
dc.typeArticleen_US
dc.contributor.researchID11858176 - Cilliers, Anthonie Christoffel


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