Foreword xvii Preface xxi Acknowledgment xxix 1 Mathematical and Physical Reality of Reliability 1 Jezdimir Knezevic 1.1 Introduction 2 1.2 Experiencing Physical Reality of Reliability 2 1.3 Mathematical Reality of Reliability 9 1.4 Studying Physical Reality of Reliability 16 1.5 Closing Remarks Regarding Observed Physical Reality of Reliability 29 1.6 Closing Questions 30 1.7 Personal Message from the Author 32 References 32 Appendix 1.

1 33 2 Models and Solutions for Practical Reliability and Availability Assessment 37 K. Trivedi and A. Bobbio 2.1 Introduction 37 2.2 Non-State-Space Methods 41 2.3 State-Space-Based Methods 50 2.4 Multi-Level Models 54 2.5 Conclusions 58 References 59 3 Reliability Prediction of Artificial Hip Joints 61 E.

A. Elsayed and Danlei Zhang 3.1 Introduction 62 3.2 Archard Law Wear Modeling 64 3.3 Physics-Based Stochastic Wear Degradation Modeling 73 3.4 Effect of Hip Implant Materials, Geometry and Patient''s Characteristics on the Wear Volume 79 References 91 4 Principles and Philosophy for an Integrated and Distributed Approach for Reliability and Extensions to Other Qualities 93 Kailash [Kal] Kapur, P.E. 4.

1 What is Quality? 94 4.1.1 Principle Centered Quality 98 4.2 Reliability 102 4.3 Other Qualities 103 4.4 Advances Beyond Binary States (Success/Failure) 108 4.5 From Feedback to Prognostics to Feedforward 115 4.6 Prognostics and Feedforward Control 117 References 119 5 An Analytic Toolbox for Optimizing Condition Based Maintenance (CBM) Decisions 121 Andrew K.

S. Jardine 5.1 Condition Monitoring: Then and Now 122 5.2 Condition Monitoring: Analogy with Heart Attack 122 5.3 Condition Monitoring ''''Classical" Approach Vs Proportional Hazards Model (PHM) 123 5.4 Another Approach to Overcome these Limitations 125 5.5 Early Work with the Proportional-Hazards Model (PHM) 126 5.6 Estimated Hazard Rate at Failure 127 5.

7 EXAKT Optimal Decision - A New "Control Chart" 128 5.8 Optimizing CBM Decisions: EXAKT 130 5.9 Some Case Studies 132 5.10 University/Industry Collaboration 136 5.11 Acknowledgement to Companies Who Funded the Research Team Who Developed the CBM Optimization Software 137 References 138 6 Degradation Modeling with Imperfect Maintenance 139 Olivier Gaudoin 6.1 Introduction 139 6.2 Statistical Inference for a Wiener-Based Degradation Model with Imperfect Maintenance Actions Under Different Observation Schemes 141 6.3 Modeling Multivariate Degradation Processes with Time- Variant Covariates and Imperfect Maintenance Effects 149 6.

4 Conclusion 156 References 156 7 Asset Maintenance in Railway: Powered by New Technology and Driven by Sustainability 159 Uday Kumar 7.1 Introduction and Background 160 7.2 Rams & Phm 160 7.3 New Technology for Railway Maintenance 161 7.4 Automation, Robotics and AI in Railway 166 7.5 Some Examples of Industrial Projects 173 7.6 Maintenance and Sustainability 180 7.7 Challenges Associated with Application of Emerging Technologies 182 7.

8 Concluding Remarks 183 References 184 8 ISO 14001 History and Applications 185 Roderick A. Munro 8.1 Need for EMS - Help to Prevent Environmental Disasters 185 8.2 India''s Governmental Alignments with the ISO 186 8.3 Sustainability Goal 186 8.4 History of ISO & Environmental Standards 187 8.5 Iso 14000 188 8.6 ISO Oversight Process 189 8.

7 ISO 14001:2015 - Structure 192 Bibliography 194 8.8 ISO 14001:2015 - Requirements - Shall''s 194 8.9 ISO 14001:2015 - Risk & Opportunities 195 8.10 ISO 14001:2015 - Aspects & Impacts 197 8.11 ISO 14001:2015 - Life Cycle 199 8.12 Linkage to Other ISO Management System Standards 200 8.13 Potential Environmental Updates Based on Thoughts for ISO 9001:2025 202 References 203 9 Process Failure Mode and Effects Analysis (PFMEA) with Fuzzy ANP-MARCOS-Based Approach for Manufacturing Process Quality Assessment 209 Anwesa Kar and Rajiv Nandan Rai 9.1 Introduction 210 9.

2 Literature Review 212 9.3 Methodology 215 9.4 Case Study 223 9.5 Results and Discussions 243 9.6 Summary & Conclusion 247 References 249 10 Advanced Neural Networks for Estimation of All-Terminal Network Reliability 253 Alex Davila-Frias and Om Prakash Yadav 10.1 CNN-Based Network Reliability Estimation 254 10.2 All-Terminal Estimation of Network Reliability Considering Degradation with Bayesian Methods, Monte Carlo, and Deep Neural Networks 265 References 286 11 Power Converter Fault Classification Using Multi-Sensor Fusion and 1D-CNN Approach 291 Sanjay K. Chaturvedi, Akanksha Chaturvedi and Monalisa Sarma 11.

1 Introduction 292 11.2 Related Work 295 11.3 Proposed Fault Diagnosis Approach Based on 1D-CNN 296 11.4 Results 306 11.5 Conclusion 314 References 314 12 Assessment of System Reliability Using Quantum Computers: A Primer 317 Indranil Hazra, Gabriel San Martín Silva and Enrique López Droguett 12.1 Introduction 317 12.2 Essentials of Quantum Computing 319 12.3 Quantum Circuits for Fault Trees 322 12.

4 Case Study: Engine Cooling and Control System 325 12.5 Summary and Conclusion 337 References 337 13 Safety Integrity Allocation for Railway Systems 341 Heeralal Gargama and Ajeet Kumar 13.1 Introduction 342 13.2 Risk Assessment and Hazard Control Process 344 13.3 Apportionment of Safety Integrity Requirements 349 13.4 Conclusion 355 References 355 14 A New Approach to Economic Development: Implications for India''s Emergence as a Global Manufacturing Hub 359 Hwy-Chang Moon, Wenyan Yin and Dilong Huang 14.1 Introduction 360 14.2 South Korea''s Remarkable Economic Development 361 14.

3 A New Approach to South Korea''s Economic Growth 362 14.4 Implications for India''s Development of Manufacturing Sector 364 14.5 Implications for India and Conclusion 371 References 374 15 Challenges in Applying Reliability Engineering in Product Development 377 Dr. Dhananjay Kumar 15.1 Introduction 377 15.2 Product Lifecycle and Reliability Engineering 378 15.3 Main Tasks of a Reliability Professional 381 15.4 RAM&T Plan 382 15.

5 RAM&T Requirements 383 15.6 RAM&T Prediction and Uncertainties 385 15.7 Components Deratings 386 15.8 Analytical Evidence for RAM&T 387 15.9 Physical Evidence 388 15.10 Manufacturing Reliability 389 15.11 In-Life Performance Monitoring 390 15.12 End of Life Declaration 391 15.

13 Conclusion 392 References 392 16 Challenges and Research Opportunities for Reliability Engineering with Evolving Industry 395 Pravin Kadekodi 16.1 Introduction 395 16.2 Technology Trends 397 16.3 Organization''s Expectation from Reliability Engineering Function 400 16.4 Combine View of External and Internal Challenges 402 16.5 Latest Advancements in Reliability Engineering Methods and the Opportunities for Meeting the Challenges 403 16.6 Summary 406 References 408 Index 409.