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The ever increasing public demand and the setting-up of national
and international legislation on safety assessment of potentially
dangerous plant require that a correspondingly increased effort be
devoted by regulatory bodies and industrial organizations to
reliability data in order to produce safety analyses. Reliability
data are also needed to assess availability of plant and services
and to improve quality of production processes, in particular, to
meet the needs of plant operators and/or designers regarding
maintenance planning and production availability. The need for an
educational effort in the field of data acquisition and processing
has been stressed within the framework of EuReDatA, an association
of organizations operating reliability data banks. This association
aims to promote data exchange and pooling of data between
organizations and to encourage the adoption of compatible standards
and basic definitions for a consistent exchange of reliability
data. Such basic definitions are considered to be essential in
order to improve quality. To cover issues directly linked to the
above areas, space is devoted to the definition of failure events,
comon cause and human error data, feedback of operational and
disturbance data, event data analysis, life-time distributions,
cumulative distribution functions, density functions, Bayesian
inference methods, mutivariate analysis, fuzzy sets and possibility
theory.
The ever increasing public demand and the setting-up of national
and international legislation on safety assessment of potentially
dangerous plants require that a correspondingly increased effort be
devoted by regulatory bodies and industrial organisations to
collect reliability data in order to produce safety analyses.
Reliability data are also needed to assess availability of plants
and services and to improve quality of production processes, in
particular, to meet the needs of plant operators and/or designers
regarding maintenance planning, production availability, etc. The
need for an educational effort in the field of data acquisition and
processing has been stressed within the framework of EuReDatA, an
association of organisations operating reliability data banks. This
association aims to promote data exchange and pooling of data
between organisations and to encourage the adoption of compatible
standards and basic definitions for a consistent exchange of
reliability data. Such basic definitions are considered to be
essential in order to improve data quality. To cover issues
directly linked to the above areas ample space is devoted to the
definition of failure events, common cause and human error data,
feedback of operational and disturbance data, event data analysis,
lifetime distributions, cumulative distribution functions, density
functions, Bayesian inference methods, multivariate analysis, fuzzy
sets and possibility theory, etc.
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