DIN EN 61164:2004-11
Current
The latest, up-to-date edition.
RELIABILITY GROWTH - STATISTICAL TEST AND ESTIMATION METHODS
Hardcopy , PDF
German
01-01-2004
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols
5 Reliability growth models in design and test
6 Reliability growth models used for systems/products in
design phase
6.1 Modified power law model for planning of reliability
growth in product design phase
6.1.1 General
6.1.2 Planning model for the reliability growth during
the product design period
6.1.3 Tracking the achieved reliability growth
6.2 Modified Bayesian IBM-Rosner model for planning
reliability growth in design phase
6.2.1 General
6.2.2 Data requirements
6.2.3 Estimates of reliability growth and related
parameters
6.2.4 Tracking reliability growth during design phase
7 Reliability growth planning a tracking in the product
reliability growth testing
7.1 Continuous reliability growth models
7.1.1 The power law model
7.1.2 The fixed number of faults model
7.2 Discrete reliability growth model
7.2.1 Model description
7.2.2 Estimation
8 Use of the power law model in planning reliability improvement
test programmes
9 Statistical test and estimation procedures for continuous
power law model
9.1 Overview
9.2 Growth tests and parameter estimation
9.2.1 Case 1 - Time data for every relevant failure
9.2.2 Case 2 - Time data for groups of relevant failures
9.3 Goodness-of-fit tests
9.3.1 General
9.3.2 Case 1 - Time data for every relevant failure
9.3.3 Case 2 - Time data for groups of relevant failures
9.4 Confidence intervals on the shape parameter
9.4.1 General
9.4.2 Case 1 - Time data for every relevant failure
9.4.3 Case 2 - Time data for groups of relevant failures
9.5 Confidence intervals on current MTBF
9.5.1 General
9.5.2 Case 1 - Time data for every relevant failure
9.5.3 Case 2 - Time data for groups of relevant failures
9.6 Projection technique
Annex A (informative) Examples for planning and analytical
models used in design and test phase of
product development
A.1 Reliability growth planning in product design phase
A.1.1 Power law planning model example
A.1.2 Construction of the model and monitoring of
reliability growth
A.2 Example of Bayesian reliability growth model for the
product design phase
A.3 Failure data for discrete trials
A.4 Examples of reliability growth through testing
A.4.1 Introduction
A.4.2 Current reliability assessments
A.4.3 Projected reliability estimates
Annex B (informative) The power law reliability growth
model - Background information
B.1 The Duane postulate
B.2 The power law model
B.3 Modified power law model for planning of reliability
growth in product design phase
B.4 Modified Bayesian IBM-Rosner model for planning
reliability growth in the design phase
Annex ZA (normative) Normative references to international
publications with their corresponding
European publications
Provides models and numerical methods for reliability growth assessments based on failure data, which were generated in a reliability improvement programme. These procedures deal with growth, estimation, confidence intervals for product reliability and goodness-of-fit tests.
DevelopmentNote |
Supersedes DIN IEC 61164 (11/2004)
|
DocumentType |
Standard
|
Pages |
56
|
PublisherName |
German Institute for Standardisation (Deutsches Institut für Normung)
|
Status |
Current
|
Supersedes |
Standards | Relationship |
NF EN 61164 : 2004 | Identical |
IEC 61164:2004 | Identical |
NBN EN 61164 : 2005 | Identical |
I.S. EN 61164:2004 | Identical |
BS EN 61164:2004 | Identical |
EN 61164:2004 | Identical |
UNE-EN 61164:2005 | Identical |
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