ДСТУ EN 61078:2022 Блок-схеми надійності (EN 61078:2016, IDT; IEC 61078:2016, IDT)



ДСТУ EN 61078:2022
(EN 61078:2016, IDT; IEC 61078:2016, IDT)

Блок-схеми надійності

 
   
 
Не є офіційним виданням.
Офіційне видання розповсюджує національний орган стандартизації
(ДП «УкрНДНЦ» http://uas.gov.ua)

Contents

FOREWORD

INTRODUCTION

1 Scope

2 Normative references

3 Terms and definitions

4 Symbols and abbreviated terms

5 Preliminary considerations, main assumptions, and limitations

5.1 General considerations

5.2 Pre-requisite/main assumptions

5.3 Limitations

6 Establishment of system success/failed states

6.1 General considerations

6.2 Detailed considerations

7 Elementary models

7.1 Developing the model

7.2 Series structures

7.3 Parallel structures

7.4 Mix of series and parallel structures

7.5 Other structures

7.6 Large RBDs and use of transfer gates

8 Qualitative analysis: minimal tie sets and minimal cut sets

8.1 Electrical analogy

8.2 Series-parallel representation with minimal success path and cut sets

8.3 Qualitative analysis from minimal cut sets

9 Quantitative analysis: blocks with constant probability of failure/success

9.1 Series structures

9.2 Parallel structures

9.3 Mix of series and parallel structures

9.4 m/n architectures (identical items)

10 Quantitative analysis: blocks with time dependent probabilities of failure/success

10.1 General

10.2 Non-repaired blocks

10.3 Repaired blocks

11 Boolean techniques for quantitative analysis of large models

11.1 General

11.2 Method of RBD reduction

11.3 Use of total probability theorem

11.4 Use of Boolean truth tables

11.5 Use of Karnaugh maps

11.6 Use of the Shannon decomposition and binary decision diagrams

11.7 Use of Sylvester-Poincare formula

11.8 Examples of RBD application

12 Extension of reliability block diagram techniques

12.1 Non-coherent reliability block diagrams

12.2 Dynamic reliability block diagrams

Annex A (informative) Summary of formulae

Annex B (informative) Boolean algebra methods

Annex C (informative) Time dependent probabilities and RBD driven Markov processes

Annex D (informative) Importance factors

Annex E (informative) RBD driven Petri nets

Annex F (informative) Numerical examples and curves

Bibliography