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Reliability, maintainability, and risk : practical methods for engineers / David J. Smith.

LIBRA TA169 .S64 2001
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Format:
Book
Author/Creator:
Smith, David J. (David John), 1943 June 22-
Language:
English
Subjects (All):
Reliability (Engineering).
Maintainability (Engineering).
Engineering design.
Physical Description:
xii, 335 pages : illustrations, map ; 25 cm
Edition:
Sixth edition.
Place of Publication:
Oxford ; Boston : Butterworth-Heinemann, 2001.
Summary:
This 6th edition incorporates brand new material on the accuracy of reliability prediction and common cause failure based on the author's PhD research work. David J. Smith approaches these subjects from an entirely original and unique viewpoint, emphasising that the need to demonstrate that safety-related systems have been assessed against target integrity levels is now commonplace in most industries, and the material contained in this book will address these growing needs.
Reliability, Maintainability and Risk has now been established for over 20 years. It deals with all aspects of reliability, maintainability and safety-related failures in a simple and straightforward style, explaining technical terms and jargon and handling the imitations of reliability parameters. It pre-supposes no prior knowledge of the subject-the author deals with numerical data making realistic predictions using the minimum of mathematics.
Contents:
Part 1 Understanding Reliability Parameters and Costs 1
1 The history of reliability and safety technology 3
1.1 Failure data 3
1.2 Hazardous failures 4
1.3 Reliability and risk prediction 5
1.4 Achieving reliability and safety-integrity 6
1.5 The RAMS-cycle 7
1.6 Contractual pressures 9
2 Understanding terms and jargon 11
2.1 Defining failure and failure modes 11
2.2 Failure Rate and Mean Time Between Failures 12
2.3 Interrelationships of terms 14
2.4 The Bathtub Distribution 16
2.5 Down Time and Repair Time 17
2.6 Availability 20
2.7 Hazard and risk-related terms 20
2.8 Choosing the appropriate parameter 21
3 A cost-effective approach to quality, reliability and safety 23
3.1 The cost of quality 23
3.2 Reliability and cost 26
3.3 Costs and safety 29
Part 2 Interpreting Failure Rates 33
4 Realistic failure rates and prediction confidence 35
4.1 Data accuracy 35
4.2 Sources of data 37
4.3 Data ranges 41
4.4 Confidence limits of prediction 44
4.5 Overall conclusions 46
5 Interpreting data and demonstrating reliability 47
5.1 The four cases 47
5.2 Inference and confidence levels 47
5.3 The Chi-square Test 49
5.4 Double-sided confidence limits 50
5.5 Summarizing the Chi-square Test 51
5.6 Reliability demonstration 52
5.7 Sequential testing 56
5.8 Setting up demonstration tests 57
6 Variable failure rates and probability plotting 58
6.1 The Weibull Distribution 58
6.2 Using the Weibull Method 60
6.3 More complex cases of the Weibull Distribution 67
6.4 Continuous processes 68
Part 3 Predicting Reliability and Risk 71
7 Essential reliability theory 73
7.1 Why predict RAMS? 73
7.2 Probability theory 73
7.3 Reliability of series systems 76
7.4 Redundancy rules 77
7.5 General features of redundancy 83
8 Methods of modelling 87
8.1 Block Diagram and Markov Analysis 87
8.2 Common cause (dependent) failure 98
8.3 Fault Tree Analysis 103
8.4 Event Tree Diagrams 110
9 Quantifying the reliability models 114
9.1 The reliability prediction method 114
9.2 Allowing for diagnostic intervals 115
9.3 FMEA (Failure Mode and Effect Analysis) 117
9.4 Human factors 118
9.5 Simulation 123
9.6 Comparing predictions with targets 126
10 Risk assessment (QRA) 128
10.1 Frequency and consequence 128
10.2 Perception of risk and ALARP 129
10.3 Hazard identification 130
10.4 Factors to quantify 135
Part 4 Achieving Reliability and Maintainability 140
11 Design and assurance techniques 142
11.1 Specifying and allocating the requirement 142
11.2 Stress analysis 145
11.3 Environmental stress protection 148
11.4 Failure mechanisms 148
11.5 Complexity and parts 150
11.6 Burn-in and screening 153
11.7 Maintenance strategies 154
12 Design review and test 155
12.1 Review techniques 155
12.2 Categories of testing 156
12.3 Reliability growth modelling 160
13 Field data collection and feedback 164
13.1 Reasons for data collection 164
13.2 Information and difficulties 164
13.3 Times to failure 165
13.4 Spreadsheets and databases 166
13.5 Best practice and recommendations 168
13.6 Analysis and presentation of results 169
13.7 Examples of failure report forms 170
14 Factors influencing down time 173
14.1 Key design areas 173
14.2 Maintenance strategies and handbooks 180
15 Predicting and demonstrating repair times 193
15.1 Prediction methods 193
15.2 Demonstration plans 201
16 Quantified reliability centred maintenance 205
16.1 What is QRCM? 205
16.2 The QRCM decision process 206
16.3 Optimum replacement (discard) 207
16.4 Optimum spares 209
16.5 Optimum proof-test 210
16.6 Condition monitoring 211
17 Software quality/reliability 213
17.1 Programmable devices 213
17.2 Software failures 214
17.3 Software failure modelling 215
17.4 Software quality assurance 217
17.5 Modern/formal methods 223
17.6 Software checklists 226
Part 5 Legal, Management and Safety Considerations 231
18 Project management 233
18.1 Setting objectives and specifications 233
18.2 Planning, feasibility and allocation 234
18.3 Programme activities 234
18.4 Responsibilities 237
18.5 Standards and guidance documents 237
19 Contract clauses and their pitfalls 238
19.1 Essential areas 238
19.2 Other areas 241
19.3 Pitfalls 242
19.4 Penalties 244
19.5 Subcontracted reliability assessments 246
20 Product liability and safety legislation 248
20.2 Strict liability 249
20.3 The Consumer Protection Act 1987 250
20.4 Health and Safety at Work Act 1974 251
20.5 Insurance and product recall 252
21 Major incident legislation 254
21.1 History of major incidents 254
21.2 Development of major incident legislation 255
21.3 CIMAH safety reports 256
21.4 Offshore safety cases 259
21.5 Problem areas 261
21.6 The COMAH directive (1999) 262
22 Integrity of safety-related systems 263
22.1 Safety-related or safety-critical? 263
22.2 Safety-integrity levels (SILs) 264
22.3 Programmable electronic systems (PESs) 266
22.4 Current guidance 268
22.5 Accreditation and conformity of assessment 272
23 A case study: The Datamet Project 273
23.2 The DATAMET Concept 273
23.3 Formation of the project group 277
23.4 Reliability requirements 278
23.5 First design review 279
23.6 Design and development 281
23.7 Syndicate study 282
23.8 Hints 282
Appendix 2 Percentage points of the Chi-square distribution 292
Appendix 3 Microelectronics failure rates 296
Appendix 4 General failure rates 298
Appendix 5 Failure mode percentages 305
Appendix 6 Human error rates 308
Appendix 7 Fatality rates 310
Appendix 10 Scoring criteria for BETAPLUS common cause model 320
Appendix 11 Example of HAZOP 327
Appendix 12 HAZID checklist 330.
Notes:
Includes bibliographical references (pages [316]-319) and index.
ISBN:
0750651687
OCLC:
187510764

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