BS EN 61078:2016 – TC:2020 Edition
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Tracked Changes. Reliability block diagrams
Published By | Publication Date | Number of Pages |
BSI | 2020 | 0 |
IEC 61078:2016 this International Standard describes: – the requirements to apply when reliability block diagrams (RBDs) are used in dependability analysis; – the procedures for modelling the dependability of a system with reliability block diagrams; – how to use RBDs for qualitative and quantitative analysis; – the procedures for using the RBD model to calculate availability, failure frequency and reliability measures for different types of systems with constant (or time dependent) probabilities of blocks success/failure, and for non-repaired blocks or repaired blocks; – some theoretical aspects and limitations in performing calculations for availability, failure frequency and reliability measures; – the relationships with fault tree analysis (see IEC 61025) and Markov techniques (see IEC 61165). This third edition cancels and replaces the second edition published in 2006. This edition constitutes a technical revision. This edition includes the following significant technical changes with respect to the previous edition: – the structure of the document has been entirely reconsidered, the title modified and the content extended and improved to provide more information about availability, reliability and failure frequency calculations; – Clause 3 has been extended and clauses have been introduced to describe the electrical analogy, the ‘non-coherent’ RBDs and the ‘dynamic’ RBDs; – Annex B about Boolean algebra methods has been extended; – Annex C (Calculations of time dependent probabilities), Annex D (Importance factors), Annex E (RBD driven Petri net models) and Annex F (Numerical examples and curves) have been introduced. Keywords: reliability block diagram (RBD)
PDF Catalog
PDF Pages | PDF Title |
---|---|
174 | English CONTENTS |
180 | FOREWORD |
182 | INTRODUCTION |
183 | 1 Scope 2 Normative references 3 Terms and definitions |
190 | 4 Symbols and abbreviated terms Figures Figure 1 – Shannon decomposition of a simple Boolean expression and resulting BDD Tables Table 1 – Acronyms used in IEC 61078 |
191 | Table 2 – Symbols used in IEC 61078 |
193 | Table 3 – Graphical representation of RBDs: Boolean structures |
194 | 5 Preliminary considerations, main assumptions, and limitations 5.1 General considerations Table 4 – Graphical representation of RBDs: non-Boolean structures/DRBD |
195 | 5.2 Pre-requisite/main assumptions 5.3 Limitations |
196 | 6 Establishment of system success/failed states 6.1 General considerations 6.2 Detailed considerations 6.2.1 System operation |
197 | 6.2.2 Environmental conditions 6.2.3 Duty cycles 7 Elementary models 7.1 Developing the model 7.2 Series structures Figure 2 – Series reliability block diagram |
198 | 7.3 Parallel structures 7.4 Mix of series and parallel structures Figure 3 – Parallel reliability block diagram Figure 4 – Parallel structure made of duplicated series sub-RBD |
199 | 7.5 Other structures 7.5.1 m out of n structures Figure 5 – Series structure made of parallel reliability block diagram Figure 6 – General series-parallel reliability block diagram Figure 7 – Another type of general series-parallel reliability block diagram |
200 | 7.5.2 Structures with common blocks Figure 8 – 2 out of 3 redundancy Figure 9 – 3 out of 4 redundancy Figure 10 – Diagram not easily represented by series/parallel arrangement of blocks |
201 | 7.5.3 Composite blocks 7.6 Large RBDs and use of transfer gates Figure 11 – Example of RBD implementing dependent blocks Figure 12 – Example of a composite block |
202 | 8 Qualitative analysis: minimal tie sets and minimal cut sets 8.1 Electrical analogy Figure 13 – Use of transfer gates and sub-RBDs Figure 14 – Analogy between a block and an electrical switch |
203 | Figure 15 – Analogy with an electrical circuit Figure 16 – Example of minimal success path (tie set) Figure 17 – Example of minimal failure path (cut set) |
204 | 8.2 Series-parallel representation with minimal success path and cut sets Figure 18 – Equivalent RBDs with minimal success paths |
205 | 8.3 Qualitative analysis from minimal cut sets 9 Quantitative analysis: blocks with constant probability of failure/success 9.1 Series structures Figure 19 – Equivalent RBDs with minimal cut sets Figure 20 – Link between a basic series structure and probability calculations |
206 | 9.2 Parallel structures 9.3 Mix of series and parallel structures Figure 21 – Link between a parallel structure and probability calculations |
207 | 9.4 m/n architectures (identical items) 10 Quantitative analysis: blocks with time dependent probabilities of failure/success 10.1 General |
208 | 10.2 Non-repaired blocks 10.2.1 General 10.2.2 Simple non-repaired block 10.2.3 Non-repaired composite blocks |
209 | 10.2.4 RBDs with non-repaired blocks 10.3 Repaired blocks 10.3.1 Availability calculations |
210 | Figure 22 – “Availability” Markov graph for a simple repaired block Figure 23 – Standby redundancy |
211 | Figure 24 – Typical availability of a periodically tested block |
212 | 10.3.2 Average availability calculations |
213 | Figure 25 – Example of RBD reaching a steady state Figure 26 – Example of RBD with recurring phases |
214 | 10.3.3 Reliability calculations Figure 27 – RBD and equivalent Markov graph for reliability calculations |
215 | 10.3.4 Frequency calculations 11 Boolean techniques for quantitative analysis of large models 11.1 General |
216 | 11.2 Method of RBD reduction Figure 28 – Illustrating grouping of blocks before reduction Figure 29 – Reduced reliability block diagrams |
217 | 11.3 Use of total probability theorem Figure 30 – Representation of Figure 10 when item A has failed Figure 31 – Representation of Figure 10 when item A is working |
218 | 11.4 Use of Boolean truth tables Figure 32 – RBD representing three redundant items Table 5 – Application of truth table to the example of Figure 32 |
219 | 11.5 Use of Karnaugh maps |
220 | Table 6 – Karnaugh map related to Figure 10 when A is in up state Table 7 – Karnaugh map related to Figure 10 when A is in down state |
221 | 11.6 Use of the Shannon decomposition and binary decision diagrams Figure 33 – Shannon decomposition equivalent to Table 5 Figure 34 – Binary decision diagram equivalent to Table 5 |
222 | 11.7 Use of Sylvester-Poincaré formula |
223 | 11.8 Examples of RBD application 11.8.1 Models with repeated blocks Figure 35 – RBD using an arrow to help define system success Figure 36 – Alternative representation of Figure 35 using repeated blocks and success paths |
224 | Figure 37 – Other alternative representation of Figure 35 using repeated blocks and minimal cut sets |
225 | Figure 38 – Shannon decomposition related to Figure 35 Table 8 – Karnaugh map related to Figure 35 |
226 | 11.8.2 m out of n models (non-identical items) 12 Extension of reliability block diagram techniques 12.1 Non-coherent reliability block diagrams Figure 39 – 2-out-of-5 non-identical items |
227 | Figure 40 – Direct and inverted block Figure 41 – Example of electrical circuit with a commutator A Figure 42 – Electrical circuit: failure paths |
228 | Figure 43 – Example RBD with blocks with inverted states |
229 | 12.2 Dynamic reliability block diagrams 12.2.1 General Figure 44 – BDD equivalent to Figure 43 |
230 | 12.2.2 Local interactions Figure 45 – Symbol for external elements |
231 | 12.2.3 Systemic dynamic interactions 12.2.4 Graphical representations of dynamic interactions |
232 | Figure 46 – Dynamic interaction between a CCF and RBDs’ blocks Figure 47 – Various ways to indicate dynamic interaction between blocks Figure 48 – Dynamic interaction between a single repair team and RBDs’ blocks |
233 | Figure 49 – Implementation of a PAND gate Figure 50 – Equivalent finite-state automaton and exampleof chronogram for a PAND gate Figure 51 – Implementation of a SEQ gate |
234 | 12.2.5 Probabilistic calculations Figure 52 – Equivalent finite-state automaton and exampleof chronogram for a SEQ gate |
235 | Annexes Annex A (informative) Summary of formulae Table A.1 – Example of equations for calculating the probability of success of basic configurations |
239 | Annex B (informative) Boolean algebra methods B.1 Introductory remarks B.2 Notation |
240 | B.3 Tie sets (success paths) and cut sets (failure paths) analysis B.3.1 Notion of cut and tie sets Figure B.1 – Examples of minimal tie sets (success paths) Figure B.2 – Examples of non-minimal tie sets (non minimal success paths) |
241 | B.3.2 Series-parallel representation using minimal tie and cut sets Figure B.3 – Examples of minimal cut sets Figure B.4 – Examples of non-minimal cut sets |
242 | B.3.3 Identification of minimal cuts and tie sets Figure B.5 – Example of RBD with tie and cut sets of various order |
243 | B.4 Principles of calculations B.4.1 Series structures B.4.2 Parallel structures |
245 | B.4.3 Mix of series and parallel structures B.4.4 m out of n architectures (identical items) |
246 | B.5 Use of Sylvester-Poincaré formula for large RBDs and repeated blocks B.5.1 General B.5.2 Sylvester-Poincaré formula with tie sets |
248 | B.5.3 Sylvester-Poincaré formula with cut sets |
249 | B.6 Method for disjointing Boolean expressions B.6.1 General and background |
250 | B.6.2 Disjointing principle |
251 | B.6.3 Disjointing procedure B.6.4 Example of application of disjointing procedure |
253 | B.6.5 Comments |
254 | B.7 Binary decision diagrams B.7.1 Establishing a BDD Figure B.6 – Reminder of the RBD in Figure 35 Figure B.7 – Shannon decomposition of the Boolean function represented by Figure B.6 |
255 | Figure B.8 – Identification of the parts which do not matter Figure B.9 – Simplification of the Shannon decomposition |
256 | B.7.2 Minimal success paths and cut sets with BDDs Figure B.10 – Binary decision diagram related to the RBD in Figure B.6 Figure B.11 – Obtaining success paths (tie sets) from an RBD |
257 | Figure B.12 – Obtaining failure paths (cut sets) from an RBD Figure B.13 – Finding cut and tie sets from BDDs |
258 | B.7.3 Probabilistic calculations with BDDs Figure B.14 – Probabilistic calculations from a BDD |
259 | B.7.4 Key remarks about the use of BDDs Figure B.15 – Calculation of conditional probabilities using BDDs |
260 | Annex C (informative) Time dependent probabilities and RBD driven Markov processes C.1 General C.2 Principle for calculation of time dependent availabilities Figure C.1 – Principle of time dependent availability calculations |
261 | C.3 Non-repaired blocks C.3.1 General C.3.2 Simple non-repaired blocks C.3.3 Composite block: example on a non-repaired standby system |
263 | C.4 RBD driven Markov processes Figure C.2 – Principle of RBD driven Markov processes Figure C.3 – Typical availability of RBD with quickly repaired failures |
264 | C.5 Average and asymptotic (steady state) availability calculations Figure C.4 – Example of simple multi-phase Markov process Figure C.5 – Typical availability of RBD with periodically tested failures |
265 | C.6 Frequency calculations |
266 | C.7 Reliability calculations |
268 | Annex D (informative) Importance factors D.1 General D.2 Vesely-Fussell importance factor D.3 Birnbaum importance factor or marginal importance factor |
269 | D.4 Lambert importance factor or critical importance factor D.5 Diagnostic importance factor |
270 | D.6 Risk achievement worth D.7 Risk reduction worth D.8 Differential importance measure |
271 | D.9 Remarks about importance factors |
272 | Annex E (informative) RBD driven Petri nets E.1 General E.2 Example of sub-PN to be used within RBD driven PN models Figure E.1 – Example of a sub-PN modelling a DRBD block |
273 | Figure E.2 – Example of a sub-PN modelling a common cause failure Figure E.3 – Example of DRBD based on RBD driven PN |
274 | E.3 Evaluation of the DRBD state Figure E.4 – Logical calculation of classical RBD structures Figure E.5 – Example of logical calculation for an n/m gate |
275 | Figure E.6 – Example of sub-PN modelling a PAND gate with 2 inputs |
276 | E.4 Availability, reliability, frequency and MTTF calculations Figure E.7 – Example of the inhibition of the failure of a block Figure E.8 – Sub-PN for availability, reliability and frequency calculations |
277 | Annex F (informative) Numerical examples and curves F.1 General F.2 Typical series RBD structure F.2.1 Non-repaired blocks Figure F.1 – Availability/reliability of a typical non-repaired series structure |
278 | F.2.2 Repaired blocks Figure F.2 – Failure rate and failure frequency related to Figure F.1 Figure F.3 – Equivalence of a non-repaired series structure to a single block Figure F.4 – Availability/reliability of a typical repaired series structure |
279 | F.3 Typical parallel RBD structure F.3.1 Non-repaired blocks Figure F.5 – Failure rate and failure frequency related to Figure F.4 Figure F.6 – Availability/reliability of a typical non-repaired parallel structure |
280 | F.3.2 Repaired blocks Figure F.7 – Failure rate and failure frequency related to Figure F.6 Figure F.8 – Availability/reliability of a typical repaired parallel structure |
281 | F.4 Complex RBD structures F.4.1 Non series-parallel RBD structure Figure F.9 – Vesely failure rate and failure frequency related to Figure F.8 Figure F.10 – Example 1 from 7.5.2 |
282 | F.4.2 Convergence to asymptotic values versus MTTR Figure F.11 – Failure rate and failure frequency related to Figure F.10 |
283 | F.4.3 System with periodically tested components Figure F.12 – Impact of the MTTR on the convergence quickness |
284 | Figure F.13 – System with periodically tested blocks Figure F.14 – Failure rate and failure frequency related to Figure F.13 |
285 | F.5 Dynamic RBD example F.5.1 Comparison between analytical and Monte Carlo simulation results F.5.2 Dynamic RBD example Figure F.15 – Analytical versus Monte Carlo simulation results |
286 | Figure F.16 – Impact of CCF and limited number of repair teams Table F.1 – Impact of functional dependencies |
287 | Figure F.17 – Markov graphs modelling the impact of the number of repair teams Figure F.18 – Approximation for two redundant blocks |
288 | Bibliography |