Reliability functions and optimal decisions using condition data for EDF primary pumps
2006 (English)Conference paper (Refereed)
There are many examples in which proportional hazards modelling (PHM) is used to accurately model the effects of the operating environment on an item's lifetime. Using such techniques it is possible to find an economically optimal moment of replacement based on condition monitoring data. However, in a nuclear power plant, the problem is somewhat different as it is not possible to stop the process and perform preventive maintenance at the most economical moment in time. The problem of interest in such cases has more to do with whether the item will last until the next scheduled plant shutdown or not. This paper presents some developed and implemented theory to calculate the conditional reliability function of an item given the current equipment age and the current values of the condition-monitoring variables. A case study of a shaft seal for a reactor cooling pump (RCP) using data from several French nuclear power plants operated by the Electricité de France (EDF) is also presented.
Place, publisher, year, edition, pages
2006. -553 p.
, 2006 9th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS
Maintenance, Markov processes, Nuclear power generation, Reliability estimation, Reliability modeling, Reliability theory, Condition monitoring, Electric power plants, Electric power systems, Electric power transmission networks, Monitoring, Nuclear energy, Nuclear engineering, Nuclear industry, Nuclear power plants, Plant shutdowns, Power transmission, Preventive maintenance, Probability, Pumps, Quality assurance, Reliability, Response time (computer systems), (e, 2e) theory, (e, 3e) process, (I, J) conditions, Applied (CO), case studies, Conditional reliability, international conferences, Monitoring data, Operating environment, Optimal decisions, power systems, Probabilistic methods, Proportional hazards, reactor cooling, Reliability functions, Shaft sealing, Power plants
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-155416DOI: 10.1109/PMAPS.2006.360274ISI: 000246355900082ScopusID: 2-s2.0-46149114917ISBN: 9171783520ISBN: 9789171783523OAI: oai:DiVA.org:kth-155416DiVA: diva2:764563
2006 9th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS; Stockholm; Sweden; 11 June 2006 through 15 June 2006
QC 201411192014-11-192014-11-052014-11-19Bibliographically approved