BS EN 61710:2013
Current
The latest, up-to-date edition.
Power law model. Goodness-of-fit tests and estimation methods
Hardcopy , PDF
English
30-09-2013
INTRODUCTION
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviations
5 Power law model
6 Data requirements
7 Statistical estimation and test procedures
Annex A (informative) - The power law model - Background
information
Annex B (informative) - Numerical examples
Annex C (informative) - Bayesian estimation for the power
law model
Bibliography
Annex ZA (normative) - Normative references to international
publications with their corresponding European
publications
Defines procedures to estimate the parameters of the power law model, to provide confidence intervals for the failure intensity, to provide prediction intervals for the times to future failures, and to test the goodness-of-fit of the power law model to data from repairable items.
Committee |
DS/1
|
DevelopmentNote |
Supersedes BS IEC 61710 & 11/30249079 DC. (09/2013)
|
DocumentType |
Standard
|
Pages |
60
|
PublisherName |
British Standards Institution
|
Status |
Current
|
Supersedes |
IEC 61710:2013 specifies procedures to estimate the parameters of the power law model, to provide confidence intervals for the failure intensity, to provide prediction intervals for the times to future failures, and to test the goodness-of-fit of the power law model to data from repairable items. It is assumed that the time to failure data have been collected from an item, or some identical items operating under the same conditions (e.g. environment and load). This second edition cancels and replaces the first edition, published in 2000, and constitutes a technical revision. The main changes with respect to the previous edition are listed below: the inclusion of an additional Annex C on Bayesian estimation for the power law model. Keywords: power law model, Bayesian estimation, reliability of repairable items
Standards | Relationship |
IEC 61710:2013 | Identical |
EN 61710:2013 | Identical |
IEC 61164:2004 | Reliability growth - Statistical test and estimation methods |
IEC 61703:2016 | Mathematical expressions for reliability, availability, maintainability and maintenance support terms |
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