Stochastic model for common cause failures and human error
| dc.contributor.author | Yadavalli, Venkata S. Sarma | |
| dc.contributor.author | Bekker, Andriette, 1958- | |
| dc.contributor.email | sarma.yadavalli@up.ac.za | en |
| dc.date.accessioned | 2008-09-02T07:35:11Z | |
| dc.date.available | 2008-09-02T07:35:11Z | |
| dc.date.issued | 2005-05 | |
| dc.description.abstract | A consistent asymptotic normal (CAN) estimator and confidence limits for the steady-state availability of series and parallel systems subject to unit failures, common-cause shock (CCS)failures and human error are studied. This paper also deals with the estimation from a Bayesian viewpoint with a number of prior distributions assumed for the unknown parameters in the system, which reflect different degrees of belief on the failure mechanisms. A Monte Carlo simulation is used to derive the posterior distribution for the steady-state availability and subsequently the highest posterior density (HPD) intervals. A numerical example illustrates the results. | en |
| dc.description.abstract | 'n Konsekwente asimptotiese normaalberamer en vertroueintervalle vir die ewewigstoestandsbeskikbaarheid van stelsels in serie en parallel, wat onderworpe is aan eenheids-, gemeenskaplike skok- en menslike foutfalings, word bestudeer. In die artikel word ook 'n Bayes-benadering gevolg vir die beraming deur 'n aantal a priori-verdelings vir die onbekende parameters in die stelsel, wat verskillende grade van vertroue in die falingsmeganismes weerspieël, te aanvaar. Monte Carlo-simulasie word gebruik om die a posteriori-verdeling vir die ewewigstoestandsbeskikbaarheid en daarna die hoogste a posteriori-digtheidsintervalle (HPD) af te lei. 'n Numeriese voorbeeld illustreer die resultate. | |
| dc.format.extent | 214470 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Yadavalli, VSS, & Bekker, A 2005,'Stochastic model for common cause failures and human error', South African Journal of Industrial Engineering, vol. 16, no. 1, pp. 41-53. [http://www.journals.co.za/ej/ejour_indeng.html] | en |
| dc.identifier.issn | 1012-277X | |
| dc.identifier.uri | http://hdl.handle.net/2263/6835 | |
| dc.language.iso | en | en |
| dc.publisher | Southern African Institute for Industrial Engineering | en |
| dc.rights | Southern African Institute for Industrial Engineering | en |
| dc.subject | Consistent asymptotic normal (CAN) | en |
| dc.subject | Steady-state availability | en |
| dc.subject | Common-cause shock (CCS) | en |
| dc.subject | Parallel systems | en |
| dc.subject | Bayesian | en |
| dc.subject | Monte Carlo Simulation | en |
| dc.subject | Highest posterior density (HPD) | en |
| dc.subject.lcsh | System failures (Engineering) | |
| dc.subject.lcsh | Nuclear power plants -- Risk assessment -- South Africa | |
| dc.subject.lcsh | Reliability (Engineering) -- Statistical methods | |
| dc.title | Stochastic model for common cause failures and human error | en |
| dc.type | Article | en |