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dc.contributor.authorCilliers, Anthonie Christoffel
dc.contributor.authorMulder, Eben Johan
dc.date.accessioned2013-10-24T10:37:18Z
dc.date.available2013-10-24T10:37:18Z
dc.date.issued2012
dc.identifier.citationCilliers, A.C. & Mulder, E.J. 2012. Adapting plant measurement data to improve hardware fault detection performance in pressurised water reactors. Annals of nuclear energy, 49:81-87. [http://www.journals.elsevier.com/annals-of-nuclear-energy/]en_US
dc.identifier.issn0306-4549
dc.identifier.issn1873-2100 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/9359
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0306454912001958
dc.identifier.urihttps://doi.org/10.1016/j.anucene.2012.05.027
dc.description.abstractWith the fairly recent adoption of digital control and instrumentation systems in the nuclear industry a lot of research now focus on the development expert fault identification systems. The fault identification systems enable detecting early onset faults of fault causes which allows 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. Detecting faults early during transient operation in NPPs is problematic due to the absence of a reliable reference to compare plant measurements with during transients. The distributed application of control systems operating independently to keep the plant operating within the safe operating boundaries complicates the problem since the control systems would not only operate to reduce the effect of transient disturbances but fault disturbances as well. This paper provides a method to adapt the plant measurements that isolates the control actions on the fault and re-introduces it into the measurement data, thereby improving plant diagnostic performance.en_US
dc.description.urihttp://dx.doi.org/10.1016/j.anucene.2012.05.027
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectNuclear plant safetyen_US
dc.subjectdiagnosticsen_US
dc.subjectfault detectionen_US
dc.subjectpredictive maintenanceen_US
dc.titleAdapting plant measurement data to improve hardware fault detection performance in pressurised water reactorsen_US
dc.typeArticleen_US
dc.contributor.researchID11858176 - Cilliers, Anthonie Christoffel
dc.contributor.researchID13276379 - Mulder, Eben Johan


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