System Reliability Theory: Models, Statistical Methods, and Applications

✍ Scribed by Marvin Rausand; Arnljot H?yland; Anne Barros

• Publisher: Wiley
• Year: 2021
• Tongue: English
• Leaves: 845
• Category: Library

✦ Synopsis

Handbook and reference for industrial statisticians and system reliability engineers

System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world. New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated.

System Reliability Theory covers a broad and deep array of system reliability topics, including:

- In depth discussion of failures and failure modes

- The main system reliability assessment methods

- Common-cause failure modeling

- Deterioration modeling

- Maintenance modeling and assessment using Python code

- Bayesian probability and methods

- Life data analysis using R

Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers.

Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples.

✦ Table of Contents

Table of contents

Preface ix

References xiii

1. Introduction 1

2. The study object and its functions 27

3. Failures and Faults 49

4. Qualitative system reliability analysis 73

5. Probability distributions in reliability analysis 131

6. System reliability analysis 207

7. Reliability importance metrics 281

8. Dependent failures 317

9. Maintenance and maintenance strategies 349

10. Counting processes 377

11. Markov Analysis 445

12. Preventive Maintenance 513

13. Reliablility of safety systems 569

14. Reliability data analysis 617

15. Bayesian reliability analysis 693

16. Reliability data: Sources and quality 721

A Acronyms 743

B Laplace Transforms 747

Author Index 751

Subject Index 755

Preface ix

References xiii

1. Introduction 1

2. The study object and its functions 27

3. Failures and Faults 49

4. Qualitative system reliability analysis 73

5. Probability distributions in reliability analysis 131

6. System reliability analysis 207

7. Reliability importance metrics 281

8. Dependent failures 317

9. Maintenance and maintenance strategies 349

10. Counting processes 377

11. Markov Analysis 445

12. Preventive Maintenance 513

13. Reliablility of safety systems 569

14. Reliability data analysis 617

15. Bayesian reliability analysis 693

16. Reliability data: Sources and quality 721

A Acronyms 743

B Laplace Transforms 747

Author Index 751

Subject Index 755