Titlebook: Reliability Data Collection and Use in Risk and Availability Assessment; Proceedings of the 6 Viviana Colombari Conference proceedings 1989

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Common-Cause Failures — Evidence from Sellafieldta collected in the USA..Component-specific Beta factors should be employed in risk assessments to predict common-cause effects. Where such data are not available a conservative global value of 0.1 appears to be appropriate for most chemical plant from the information analysed in this study.

Ligneous

shrill

An Analytic Method to Estimate Uncertainty in a Risk FunctionThis paper presents a method for estimating the uncertainty in a probabilistic risk analysis. Based on the estimation of probability intervals of some basic parameters of a risk function, the method estimates a probability interval for the risk function. An example of risk analysis of releases of flammable materials is shown.

白楊魚

Bravado

OREDA Phase II Data Collection Experienceand coding of engineering, functional and failure data for over 1600 equipment inventories and 8000 failure events. Problems encountered in acquiring data from maintenance records and maintaining satisfactory quality control for such a large and geographically dispersed project are also discussed.

Concomitant

A Reliability Data Bank for the Natural Gas Distribution Industryx large sets of urban mains with a view to optimasing the establishment of a reliability data bank. The study undescores the extreme individuality of gas distribution plants and the need for a sector data bank. A prototype form for the collection of pressure Regulating Installations (PRI) faults and breakdowns is also presented.

信徒

CANDY

Modeling of Fuzzy Measurements in Reliability Estimatione second kind of uncertainty is fuzziness of observed life times. This kind of uncertainty is neglected in standard statistical inference. Therefore statistical inference procedures have to be adapted to take care of fuzzy life time data. Models to analyze fuzzy life time data are given in classical frequentist and Bayesian context.

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