Handbook on Quality of Reliability Theory

Background

The requirements of safety analysis and maintenance, availability and cost optimisation studies demand access to comprehensive, high quality reliability data. Although generic data sources are useful, the real benefits are obtained by the collection and analysis of in-house information. Maintenance and inspection reports, downtime and cost data provide a wealth of information and will closely reflect the culture and practice of the plant and organisation from which it was obtained.

The collection, organisation and analysis of reliability data into a computerised data base can offer many benefits. However, it is essential that there is a clear understanding of the requirements and that adequate controls are applied to ensure that uncertainties are minimised. There can also be advantages in collecting data in a standardised format since this will facilitate the exchange of safety, maintenance and availability information between organisations. Data quality assurance is, therefore, important and needs to be addressed by every organisation concerned with the collection and analysis of reliability data.

Content

• Introduction state of the art
• Scope and objectives
• Failure and reliability data
• Methods for data bank evaluation
• Standards and experience with standards
• Conclusions and future work Definitions
• References and bibliography

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