ISHM is an innovative combination of technologies and methods that offers solutions to the reliability problems caused by increased complexities in design, manufacture, use conditions, and maintenance. Its key strength is in the successful integration of reliability (quantitative estimation of successful operation or failure), "diagnosibility" (ability to determine the fault source), and maintainability (how to maintain the performance of a system in operation). It draws on engineering issues such as advanced sensor monitoring, redundancy management, probabilistic reliability theory, artificial intelligence for diagnostics and prognostics, and formal validation methods, but also "quasi-technical" techniques and disciplines such as quality assurance, systems architecture and engineering, knowledge capture, information fusion, testability and maintainability, and human factors.
This groundbreaking book defines and explains this new discipline, providing frameworks and methodologies for implementation and further research. Each chapter includes experiments, numerical examples, simulations and case studies. It is the ideal guide to this crucial topic for professionals or researchers in aerospace systems, systems engineering, production engineering, and reliability engineering.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Acknowledgments - p. vii 6. Chapter One. ISHM for Complex Systems - p. 1 7. Chapter Two. Sensor System and Health Monitoring - p. 55 8. Chapter Three. Information Fusion - p. 101 9. Abstract - p. 101 10. 3.1 Information Fusion for ISHM - p. 101 11. 3.2 Distributed Fusion Parameter Extraction - p. 102 12. 3.3 Data Mining and Processing for Diagnostics - p. 123 13. 3.4 Monitoring Data-Based ISHM Algorithm - p. 143 14. References - p. 155 15. Chapter Four. Performance Evaluation - p. 157 16. Abstract - p. 157 17. 4.1 Key Problem Statement - p. 157 18. 4.2 Successful Launch Assessment - p. 159 19. 4.3 Improved Assessment Model - p. 177 20. References - p. 198 21. Chapter Five. System Assessment - p. 201 22. Chapter Six. Fault Diagnostics - p. 247 23. Abstract - p. 247 24. 6.1 Fault Diagnostics for Complex Systems - p. 247 25. 6.2 Adaptive Fault Diagnostics - p. 252 26. 6.3 Diagnostics Under Uncertainty - p. 274 27. 6.4 Integrated Hierarchical Diagnostics - p. 296 28. References - p. 314 29. Chapter Seven. Failure Prognostics - p. 319 30. Chapter Eight. Maintenance Decision Support - p. 377 31. Abstract - p. 377 32. 8.1 Complex Systems Maintenance Theory - p. 377 33. 8.2 Replacement Maintenance Strategy Decision-Making - p. 386 34. 8.3 CBM-based Maintenance Timing Decision-Making - p. 412 35. References - p. 430 36. Chapter Nine. Affordability and Life-Cycle Costs Analysis - p. 433 37. Index - p. 451
ISHM is an innovative combination of technologies and methods that offers solutions to the reliability problems caused by increased complexities in design, manufacture, use conditions, and maintenance. Its key strength is in the successful integration of reliability (quantitative estimation of successful operation or failure), "diagnosibility" (ability to determine the fault source), and maintainability (how to maintain the performance of a system in operation). It draws on engineering issues such as advanced sensor monitoring, redundancy management, probabilistic reliability theory, artificial intelligence for diagnostics and prognostics, and formal validation methods, but also "quasi-technical" techniques and disciplines such as quality assurance, systems architecture and engineering, knowledge capture, information fusion, testability and maintainability, and human factors.
This groundbreaking book defines and explains this new discipline, providing frameworks and methodologies for implementation and further research. Each chapter includes experiments, numerical examples, simulations and case studies. It is the ideal guide to this crucial topic for professionals or researchers in aerospace systems, systems engineering, production engineering, and reliability engineering.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Acknowledgments - p. vii 6. Chapter One. ISHM for Complex Systems - p. 1 7. Chapter Two. Sensor System and Health Monitoring - p. 55 8. Chapter Three. Information Fusion - p. 101 9. Abstract - p. 101 10. 3.1 Information Fusion for ISHM - p. 101 11. 3.2 Distributed Fusion Parameter Extraction - p. 102 12. 3.3 Data Mining and Processing for Diagnostics - p. 123 13. 3.4 Monitoring Data-Based ISHM Algorithm - p. 143 14. References - p. 155 15. Chapter Four. Performance Evaluation - p. 157 16. Abstract - p. 157 17. 4.1 Key Problem Statement - p. 157 18. 4.2 Successful Launch Assessment - p. 159 19. 4.3 Improved Assessment Model - p. 177 20. References - p. 198 21. Chapter Five. System Assessment - p. 201 22. Chapter Six. Fault Diagnostics - p. 247 23. Abstract - p. 247 24. 6.1 Fault Diagnostics for Complex Systems - p. 247 25. 6.2 Adaptive Fault Diagnostics - p. 252 26. 6.3 Diagnostics Under Uncertainty - p. 274 27. 6.4 Integrated Hierarchical Diagnostics - p. 296 28. References - p. 314 29. Chapter Seven. Failure Prognostics - p. 319 30. Chapter Eight. Maintenance Decision Support - p. 377 31. Abstract - p. 377 32. 8.1 Complex Systems Maintenance Theory - p. 377 33. 8.2 Replacement Maintenance Strategy Decision-Making - p. 386 34. 8.3 CBM-based Maintenance Timing Decision-Making - p. 412 35. References - p. 430 36. Chapter Nine. Affordability and Life-Cycle Costs Analysis - p. 433 37. Index - p. 451
