BS 5760-2:1994

Committees responsible
Foreword
Introduction
Section 1. General
1.1 Scope
1.2 References
1.3 Definitions
1.4 Symbols
Section 2. Purposes and problems
2.1 Purposes
2.2 Costs versus benefits
2.3 Using and presenting the results
2.4 Basic concepts
2.5 Assessment problems
2.6 Failure classification
2.7 Accuracy of assessment and prediction
Section 3. Assessment throughout the product life cycle
3.1 General
3.2 Definition phase
3.3 Design and development phase
3.4 Production phase
3.5 Installation and commissioning
3.6 Function and maintenance
Section 4. Fundamentals of reliability assessment
4.1 General
4.2 Function
4.3 Conditions of use
4.4 Time interval
4.5 Probability
4.6 Reliability and safety
4.7 Principles of reliability modelling
4.8 Redundancy
4.9 Computer tools for reliability assessment
Section 5. Assessment techniques
5.1 Outlines of techniques
5.2 Assumptions
Section 6. Reliability block diagram (RBD) technique
6.1 Application
6.2 Benefits
6.3 Limitations
6.4 Elementary models
6.5 More complex models
6.6 Extension to calculations of system availability
6.7 Typical RBD configurations and related formulae
6.8 Example of a block diagram analysis
Section 7. Reliability prediction
7.1 Application
7.2 Methods
7.3 System models
7.4 Similar equipment method
7.5 Extrapolation of reliability data from tests and
      trials
7.6 Reliability modelling
7.7 Generic parts methods
Section 8. Fault modes and effects analysis (FMEA) and
fault modes, effects and criticality analysis (FMECA)
8.1 Application
8.2 Benefits
8.3 Limitations
8.4 Qualitative and quantitative analyses
8.5 Criticality matrices and histograms
8.6 Procedure
8.7 Results
8.8 Use of the analysis
8.9 Process FMEA
Section 9. Fault tree analysis (FTA)
9.1 Application
9.2 Benefits
9.3 Limitations
9.4 Analysis
9.5 Minimal cut sets
9.6 Relationship with FMEA and FMECA
9.7 Results
Section 10. Monte-Carlo and other simulation techniques
10.1 Application
10.2 Benefits
10.3 Limitations
10.4 Outline of procedure
10.5 Results
10.6 The Latin hypercube method
Section 11. Markov techniques
11.1 Application
11.2 Benefits
11.3 Limitations
11.4 System operation and environmental conditions
11.5 Representation of system failure definitions
11.6 Development of state diagrams
11.7 Evaluating the model
11.8 Example of the application of the Markov technique
Section 12. Reliability growth monitoring and testing
12.1 Application
12.2 Benefits
12.3 Limitations
12.4 Reliability growth monitoring techniques
Section 13. Development reliability demonstration testing
13.1 Application
13.2 Benefits
13.3 Limitations
13.4 Interpretation of results
Section 14. Environmental stress screening (ESS),
including burn-in, during production
14.1 Application
14.2 Benefits
14.3 Limitations
14.4 Inspection and testing
14.5 Environmental stress screening (ESS)
Section 15. Production reliability assurance testing
(PRAT)
15.1 Application
15.2 Benefits
15.3 Limitations
15.4 Uncertainty of results
Section 16. In-service reliability demonstration
16.1 Application
16.2 Benefits
16.3 Limitations
Section 17. Life data analysis
17.1 Application
17.2 Data requirements
17.3 Quality of data
17.4 Quantity of data
17.5 Graphical analysis using Weibull
17.6 Example of two-parameter Weibull plot
17.7 Interpretation of Weibull analysis
17.8 Three-parameter Weibull distributions
17.9 Plotting censored data
17.10 Graphical analysis using accumulated failures
Section 18. Sneak analysis (SA)
18.1 Application
18.2 Benefits
18.3 Limitations
Section 19. Assessment of software reliability
19.1 Application
19.2 Purposes
19.3 Benefits
19.4 Limitations
19.5 Concepts
19.6 Methods
Section 20. Human reliability assessment (HRA)
20.1 Application
20.2 The HRA process
20.3 Development of HRA
Section 21. Data feedback and analysis
21.1 General
21.2 Relevance and applicability of data
21.3 Human influences in data collection
21.4 Use of computerized databases
21.5 Data analysis
Section 22. Assessment of availability
22.1 Concepts
22.2 Mathematical representation
22.3 Forms of availability
22.4 Modelling principles
22.5 Operational and maintenance strategy
22.6 Availability assessment
Section 23. Reliabilty assessment of services
23.1 General
23.2 Reliability of services
23.3 Specification of services
23.4 Application of reliability modelling to the postal
      service
Section 24. Reliability assessment of one-shot devices
24.1 General
24.2 Failure of one-shot devices
Section 25. Common cause failure modelling and assessment
25.1 The importance of common cause failures
25.2 Coupling mechanisms
25.3 Assessment of common cause failures
Annexes
A. (informative) Variation of failure rate with time:
     the bath-tub curve
B. (informative) Failure distributions and goodness-
     of-fit
C. (informative) Simplified solutions for Markov
     diagrams and RBDs
D. (informative) Confidence intervals
Numerous tables
Numerous figures
List of references