Reliability in Automotive and Mechanical Engineering Determination of Component and System Reliability 1st edition by Bernd Bertsche ISBN 3642070493 978-3642070495

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ISBN 10: 3642070493
ISBN 13: 978-3642070495
Author: Bernd Bertsche 

Defects generate a great economic problem for suppliers who are faced with increased duties. Customers expect increased efficiency and dependability of technical product of – also growing – complexity. The authors give an introduction to a theory of dependability for engineers. The book may serve as a reference book as well, enhancing the knowledge of the specialists and giving a lot of theoretical background and practical information, especially on the dependability analysis of whole systems.

The theory, concepts and approaches are well explained by examples and solutions. The topics include: Mathematical basis, Life span distributions, System dependability theory, Failure mode and effects analysis (FMEA), Fault tree analysis, Dependability test planning, Test evaluation, Calculation of repairable systems, Dependability protection programs.

Reliability in Automotive and Mechanical Engineering: Determination of Component and System Reliability 1st Table of contents:

1. Introduction to Reliability Engineering 1.1. Definition and Importance of Reliability
   1.2. Historical Overview of Reliability Engineering
   1.3. Role of Reliability in Automotive and Mechanical Systems
   1.4. Key Concepts and Terms in Reliability Engineering
   1.5. Types of Reliability (Component vs. System)

2. Chapter 1: Reliability of Components 2.1. Understanding Component Reliability
   2.2. Methods for Determining Component Reliability
   2.3. Statistical Models for Component Reliability
   2.4. Failure Modes and Mechanisms in Components
   2.5. Case Studies on Component Reliability

3. Chapter 2: Reliability of Systems 3.1. Defining System Reliability
   3.2. Reliability Block Diagrams and Network Models
   3.3. Series, Parallel, and Mixed Configurations
   3.4. System-Level Failure Analysis
   3.5. Case Studies on System Reliability

4. Chapter 3: Reliability Testing and Evaluation 4.1. Types of Reliability Tests (Accelerated Life Testing, etc.)
   4.2. Test Planning and Statistical Methods
   4.3. Failure Data Collection and Analysis
   4.4. Reliability Test Design and Execution
   4.5. Case Studies on Reliability Testing

5. Chapter 4: Failure Analysis and Prediction 5.1. Failure Modes and Effects Analysis (FMEA)
   5.2. Fault Tree Analysis (FTA)
   5.3. Weibull Analysis and Its Application in Failure Prediction
   5.4. Predictive Modeling for Component and System Failures
   5.5. Case Studies in Failure Prediction

6. Chapter 5: Reliability in Automotive Engineering 6.1. Reliability Considerations in Automotive Design
   6.2. Common Automotive Failures and Their Impact
   6.3. Improving Reliability in Automotive Systems
   6.4. Automotive Reliability Testing (e.g., Durability Testing, Road Testing)
   6.5. Case Studies on Automotive Reliability

7. Chapter 6: Reliability in Mechanical Systems 7.1. Mechanical Systems and Their Reliability Challenges
   7.2. Material Selection and Its Effect on Mechanical Reliability
   7.3. Lubrication and Wear in Mechanical Systems
   7.4. Vibration and Fatigue in Mechanical Components
   7.5. Case Studies in Mechanical Reliability

8. Chapter 7: Reliability Prediction Methods 8.1. Reliability Prediction Models for Components
   8.2. Reliability Prediction for Automotive and Mechanical Systems
   8.3. Use of Databases and Software Tools in Prediction
   8.4. Comparison of Different Reliability Prediction Methods
   8.5. Case Studies on Reliability Prediction

9. Chapter 8: Life Cycle Cost Analysis and Reliability 9.1. Integrating Reliability and Life Cycle Cost (LCC)
   9.2. Cost-Benefit Analysis of Reliability Improvements
   9.3. Maintenance and Repair Strategies Based on Reliability
   9.4. Economic Considerations in Reliability Engineering
   9.5. Case Studies in Life Cycle Cost and Reliability

10. Chapter 9: Advanced Topics in Reliability 10.1. Reliability of Complex Systems and Interdependencies
    10.2. Reliability in the Context of Industry 4.0 and IoT
    10.3. Artificial Intelligence and Machine Learning in Reliability Engineering
    10.4. Prognostics and Health Management (PHM)
    10.5. Future Trends in Automotive and Mechanical Reliability

11. Chapter 10: Conclusion and Future Directions 11.1. Emerging Challenges in Reliability Engineering
    11.2. The Role of Sustainability and Environmental Impact
    11.3. The Future of Reliability in Automotive and Mechanical Engineering
    11.4. Key Takeaways and Best Practices
    11.5. Further Reading and Resources

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