Reliability data collection and analysis
Author(s)
Bibliographic Information
Reliability data collection and analysis
(Euro courses, . Reliability and risk analysis ; v. 3)
Kluwer Academic Publishers, c1992
Available at 11 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of Contents
- Presentation of EuReDatA
- needs and use of data collections and analysis
- reliability, availability, maintainability definitions - objectives of data collection and analysis
- inventory and failure data
- reliability data collection and its quality control
- FACTS - a data base for industrial safety
- reliability data collection system in the telecommunication field
- the component event data base - a tool for collecting and organizing information on NPPs component behaviour
- predictions of flow availability for offshore oil production platforms
- an analysis of accidents with casualities in the schemical industry based on the historical facts
- systematic analysis and feedback of plant disturbance data
- procedures for using expert judgment in risk analysis
- on the combination of evidence in various mathematical frameworks
- failure rate estimation based on data from different environments and with varying quality
- operation data banks at EDF
- RCM - closing the loop between design and operation reliability
- EuReData benchmark exercise on data analysis
- demonstration of failure data bank, failure data analysis, reliability parameter bank and data retrieval.
by "Nielsen BookData"