Control Systems Safety Evaluation & Reliability explains how engineers measure and improve the safety and reliability of control systems used in process industries. It explores how failures occur (stress versus strength), and how to model and measure reliability and safety using tools such as probability, histograms, fault trees, reliability block diagrams and Markov models. Furthermore, it examines how diagnostics, common-cause failures and software faults impact system performance.
This book guides readers through practical tools, including failure modes and effects analysis (FMEA) and failure modes, effects and diagnostic analysis (FMEDA), as well as software reliability models and lifecycle costing. It balances theory with real-world examples, demonstrating how to build effective models, compare architectures and estimate the financial impact of design choices.
Overall, it serves as a practical reference for students and practitioners aiming to understand and evaluate control system safety quantitatively.
Table of Contents:
PREFACE xv
ABOUT THE AUTHOR xvii
Chapter 1 INTRODUCTION 1
Chapter 2 UNDERSTANDING RANDOM EVENTS 9
Chapter 3 FAILURES: STRESS VERSUS STRENGTH 33
Chapter 4 RELIABILITY AND SAFETY 59
Chapter 5 FMEA / FMEDA 87
Chapter 6 FAULT TREE ANALYSIS 103
Chapter 7 RELIABILITY BLOCK DIAGRAMS 121
Chapter 8 MARKOV MODELING 149
Chapter 9 DIAGNOSTICS 179
Chapter 10 COMMON CAUSE 201
Chapter 11 SOFTWARE RELIABILITY 223
Chapter 12 MODELING DETAIL 255
Chapter 13 RELIABILITY AND SAFETY MODEL CONSTRUCTION 283
Chapter 14 SYSTEM ARCHITECTURES 305
Chapter 15 SAFETY INSTRUMENTED SYSTEMS 359
Chapter 16 LIFECYCLE COSTING 379
APPENDIX A STANDARD NORMAL DISTRIBUTION TABLE 401
APPENDIX B MATRIX MATH 405
APPENDIX C PROBABILITY THEORY 413
APPENDIX D TEST DATA 435
APPENDIX E CONTINUOUS TIME MARKOV MODELING 441
INDEX 455
