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This paper deals with the implementation of stochastic filtering techniques into a computer code designed to handle real data from nuclear power stations, in order to decide the minimum maintenance frequency compatible with required safety standards. It briefly surveys theoretical fundamentals of stochastic filtering with stress on reliability applications, suggesting its use as a computational tool rather than as inference machinery. Bayesian solutions are proposed to problems such as settling a prior distribution on parameters, selecting a failure model for the component, and consulting experts for the purpose of quantifying the effect of maintenance.

Additional information

Authors: BESI A, JRC Ispra Estab. (IT);NICHELE P, JRC Ispra Estab. (IT);CLAROTTI C A, ENEA Casaccia, Roma (IT);PIEPSZOWNIK L, Visiting Scientist, Electricite de France (FR)
Bibliographic Reference: Paper presented: International Research Conference on Reliability, University of Missouri, Columbia, (US), May 17-19, 1988
Availability: Available from (1) as Paper EN 34145 ORA
Record Number: 198910236 / Last updated on: 1994-12-01
Original language: en
Available languages: en
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