There are a number of sources of reliability information available in the market these days. For instance, the recent release of Maros and Taro provides a refreshed material which include more than 500 pages of information related to reliability.
Below I’ve tried to list where I normally go from when I in need of information.
ISO 20815: Petroleum, petrochemical and natural gas industries — Production assurance and reliability management
This standard introduces the concept of production assurance within the oil and gas industry. It has a good definition of the different stages of a project lifecycle and covers issues related to reliability and maintainability. The only requirements mandated by ISO 20815 are the establishment and execution of the production-assurance programme (PAP).
BSI PAS55 – Asset Management
PAS 55 provides objectivity across 28 aspects of good asset management, from lifecycle strategy to everyday maintenance (cost/risk/performance). It enables the integration of all aspects of the asset lifecycle: from the first recognition of a need to design, acquisition, construction, commissioning, utilization or operation, maintenance, renewal, modification and/or ultimate disposal.
ISO 55000: Asset management — Overview, principles and terminology
This standard provides an overview of asset management, its principles and terminology, and the expected benefits from adopting asset management.
ISO 14224: Collection and exchange of reliability and maintenance data for equipment
This standard provides a comprehensive basis for the collection of reliability and maintenance (RM) data in a standard format for equipment in all facilities and operations within the petroleum, natural gas and petrochemical industries during the operational life cycle of equipment. It describes data-collection principles and associated terms and definitions that constitute a “reliability language” that can be useful for communicating operational experience.
A list of nice books that I’ve been using lately:
Springer Handbook of Engineering Statistics by Hoang Pham
- Fundamental Statistics
- Process Monitoring and Improvement
- Reliability Modeling and Survival Analysis
- Regression Methods
- Data Mining
- Statistical Methods and Modeling
- Wide Range of Applications including Six Sigma
- Link to the book
Gas and Oil Reliability Engineering, Modelling and Analysis by Eduardo Calixto
- Mathematic methods for analyzing failure historical data
- Instruction for utilizing modeling systems such as MAROS, TARO, and interpret results
- Step by Step approach for formulating an cost effective maintenance program
- Identifies equipment and procedural problems inherent to oil and gas operations
- Easily understood methods and software tools that will save time and money
- Provides a tutorial for using the most used software programs such as: MAROS, TARO, and BLOCKSIM
- Step by step instruction to create a custom maintenance policy
- Reduce project cost, reduce redundancies and optimize equipment life
- Link to the book
Old but gold references:
- Reliability Technology; Green. AE and Bourne, AJ; Wiley, 1972.
- Reliability Evaluation of Engineering Systems; Allan, RN and Billinton, R; Pitman, 1983.
- Practical Reliability Engineering; O’Connor, PDT; Wiley, 1985.
- Maintenance Replacement and Reliability; Jardine, AKS; Pitman, 1973
- Reliability Management, Methods and Mathematics; Lloyd, DK and Lipow, M; Prentice Hall, 1977.
- Reliability in Engineering Design; Kapur, KC and Lamerson, LR; Wiley, 1977.
- Repairable System Reliability: Inference and Modelling Misconceptions and their Causes; Ascher, H and Feingold, H; Marcel Dekker, 1984.
- Reliability Engineering and Risk Assessment; Henley and Kumamoto; Prentice Hall 1981.
Reliability data sources
OREDA is a project organisation sponsored by eight oil and gas companies with worldwide operations. The main purpose is to collect and exchange reliability data among the participating companies. They have a well-established and comprehensive databank with reliability and maintenance data for exploration and production equipment from a wide variety of geographic areas, installations, equipment types and operating conditions.
This page gives a survey of sources for reliability data – mostly failure rate estimates:
Other useful websites:
- Barringer & Associates
- Department of Statistics Iowa State University
- Ramon Leon’s reliability course homepage
- University of Glasgow
- University of Maryland – Reliability Engineering
From Carlos Viloria:
“Reliability mathematics: fundamentals, practices, procedures”, by Bertram L. Amstadter, McGraw-Hill, 1971.
- Fundamental statistical concept
- Distributions used in reliability
- Tests of hypotheses
- Related statistical procedures
- Data considerations
- Logic diagrams
- Mathematical models
- Prediction of component reliability
- System prediction
- Reliability growth
- Assessment methods: attributes
- Assessment methods: variables
- Reliability demonstration
- System reliability considerations
From Eduardo Calixto:
Good source of reliability data and data analysis:
CCPS Generic Failure Rate Data Base; Published Online: 28 SEP 2010
Author: Victor Borges