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BS 5760-17:1995

Withdrawn
Withdrawn

A Withdrawn Standard is one, which is removed from sale, and its unique number can no longer be used. The Standard can be withdrawn and not replaced, or it can be withdrawn and replaced by a Standard with a different number.

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withdrawn

A Withdrawn Standard is one, which is removed from sale, and its unique number can no longer be used. The Standard can be withdrawn and not replaced, or it can be withdrawn and replaced by a Standard with a different number.

Reliability of systems, equipment and components Reliability growth. Statistical test and estimation methods
Available format(s)

Hardcopy , PDF

Withdrawn date

10-31-2018

Language(s)

English

Published date

12-15-1995

Committees responsible
National foreword
Introduction
Guide
1 Scope
2 Normative references
3 Definitions
4 Symbols
5 The power law model
6 Use of the model in planning reliability improvement
    programmes
7 Statistical test and estimation procedures
Annexes
A (informative) Numerical examples
B (informative) The power law reliability growth model
    - Background information
Tables
1 Critical values for Cramer-von Mises goodness of fit
    test at 10% level of significance
2 Two sided 90% confidence intervals for MTBF from
    type I testing
3 Two sided 90% confidence intervals for MTBF from
    type II testing
A.1 Complete data - all relevant failures and accumulated
    test times for type I test, T* = 1000 h, N = 52
A.2 Grouped data for example 3, derived for table A.1
A.3 Complete data for projected estimates in example 4 -
    all relevant failures and accumulated test times;
    T* = 4000 h, N = 45,KA = 13,KB = 32,I = 16
A.4 Distinct types of category B failures, from table
    A.3, with failure times, time of first occurrence,
    number observed and effectiveness factors
Figures
A.1 Scattergram of expected and observed test times at
    failure based on data of table A.1 with power law
    model
A.2 Observed and estimated accumulated failures/
    accumulated test time based on data of table A.2
    with power law model



Gives models and numerical metods for reliability growth assessments based on failure data from a single system that were generated in a reliability improvement programme.

Committee
DS/1
DevelopmentNote
DRAFT FOR COMMENT 89/97869 DC
DocumentType
Standard
Pages
36
PublisherName
British Standards Institution
Status
Withdrawn
SupersededBy

Standards Relationship
IEC 61164:2004 Identical

03/101534 DC : DRAFT JAN 2003 BS 5760-4 - RELIABILITY OF SYSTEMS, EQUIPMENT AND COMPONENTS - PART 4: GUIDE TO THE SPECIFICATION OF DEPENDABILITY REQUIREMENTS
BS 5760-4:2003 Reliability of systems, equipment and components Guide to the specification of dependability requirements

IEC 60605-4:2001 Equipment reliability testing - Part 4: Statistical procedures for exponential distribution - Point estimates, confidence intervals, prediction intervals and tolerance intervals
IEC 61014:2003 Programmes for reliability growth
IEC 60605-6:2007 Equipment reliability testing - Part 6: Tests for the validity and estimation of the constant failure rate and constant failure intensity

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