Engineering Reliability and Risk Assessment

1st Edition - September 23, 2022
Editors: Harish Garg, Mangey Ram
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 9 4 3 - 2
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 3 8 3 - 6

Engineering Reliability and Risk Assessment explains how to improve the performance of a system using the latest risk and reliability models. Against a backdrop of increa… Read more

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Engineering Reliability and Risk Assessment explains how to improve the performance of a system using the latest risk and reliability models. Against a backdrop of increasing availability of industrial data, and ever-increasing global commercial competition, the standards for optimal efficiency with minimum hazards keep improving. Topics explained include Effective strategies for the maintenance of the mechanical components of a system, How to schedule necessary interventions throughout the product life cycle, How to understand the structure and cost of complex systems, Planning a schedule to improve the reliability and life of the system, software, system safety and risk informed asset management, and more.

Cover image
Title page
Table of Contents
Copyright
Contributors
Chapter 1. Bayesian networks for failure analysis of complex systems using different data sources
1. Introduction
2. Risk, reliability, and uncertainty
3. Bayesian networks (BNs)
4. Probabilistic failure analysis of hydropower dams
5. Summary and conclusions
Chapter 2. Failure modes and effect analysis model for the reliability and safety evaluation of a pressurized steam trap
1. Introduction
2. Hybrid failure modes and effects analysis model
3. Numerical illustration
4. Conclusions
Chapter 3. Reliability and availability analysis of a standby system with activation time and varying demand
Nomenclature
1. Introduction
2. Assumptions for proposed model
3. Proposed system (model)
4. Description of model
5. Graphical interpretations
6. Conclusions
Chapter 4. Fuzzy attack tree analysis of security threat assessment in an internet security system using algebraic t-norm and t-conorm
1. Introduction
2. Preliminary concepts
3. Proposed FATA method
4. An illustrative application
5. Conclusions and future scope
Chapter 5. A new flexible extension to a lifetime distributions, properties, inference, and applications in engineering science
Abbreviations
1. Introduction
2. Special model
3. Reliability measures
4. Estimation inference via simulation
5. Real data applications
6. Conclusion
Chapter 6. Markov and semi-Markov models in system reliability
1. The reliability in systems
2. Failure process of systems
3. Markov and semi-Markov models in systems reliability
4. Conclusions and future research
Chapter 7. Emerging trends and future directions in software reliability growth modeling
1. Introduction
2. Software reliability growth models
3. Method of model formulation
4. Emerging trends
5. Future direction
6. Conclusions
Chapter 8. Reliability and profit analysis of a markov model having cost-free warranty with waiting repair facility
1. Introduction
2. Background and literature review
3. Description of the system
4. Analysis of the system
5. Numerical results
6. Conclusion
7. Future research directions
Chapter 9. Semi-Markov modeling applications in system availability analysis
1. System availability
2. Motivation
3. Availability assessment
4. Availability assessment methods
5. System availability modeling and analysis
6. Application of SMP for engineering systems
7. Conclusion
Chapter 10. An α-cut interval-based similarity aggregation method to evaluate fault tree events for system safety under fuzzy environment
1. Introduction
2. Preliminaries of fuzzy set theory
3. Proposed approach
4. Numerical example
5. Conclusion
Chapter 11. Business analytics to advance industrial safety management
1. Introduction
2. The eMARS database
3. Materials and method
4. Results
5. Conclusion
Chapter 12. Risk assessment and management of fire-induced domino effects in chemical industrial park
1. Introduction
2. Fire synergistic effect model (FSEM)
3. Spatial–temporal evolution modeling of fire-induced domino effects based on FSEM
4. Risk management of fire-induced domino effects
5. Combining uncertainty reasoning and deterministic modeling
6. Conclusions
Chapter 13. Stability assessment using Bayesian network control for inverters in smart grid
1. Introduction
2. The TAN classifier and its AdaBoost algorithm
3. The controller structure of dynamic Bayesian network–based model predictive control
4. Controller of dynamic Bayesian network–based model predictive control for three-phase grid-connected inverter system
5. Experimentation and results
6. Discussion and conclusion
Index

Harish Garg

Dr. Garg is Associate Professor of Mathematics at Thapar Institute of Engineering and Technology, Patiala, Punjab, India. He is the recipient of the Obada-Prize 2022 – Young Distinguished Researchers. He is also the recipient of the Top-Cited paper by an India-based author (2015 – 2019) from Elsevier Publisher. He also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN). Dr. Garg's research interests include computational intelligence, multi-criteria decision making, evolutionary algorithms, reliability analysis, expert systems, and decision support systems, computing with words, and soft computing. He has authored more than 400 papers published in refereed international journals. He has also authored seven book chapters. He has also edited 8 books from Elsevier, Springer, and other publishers. Dr. Garg also serves on editorial boards of several leading international journals, this includes the Founding Editor-in-Chief of the Journal of Computational and Cognitive Engineering. He is also the Associate Editor of IEEE Transaction of Fuzzy Systems, Soft Computing, Alexandria Engineering Journal, Journal of Intelligent & Fuzzy Systems, Complex and Intelligent Systems, Journal of Industrial & Management Optimization, and CAAI Transactions on Intelligence Technology.

Affiliations and expertise

Associate Professor, School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

Mangey Ram

Prof. Mangey Ram received his Ph.D. in Mathematics (major) and Computer Science (minor) from the G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a faculty member for ca. 15 years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently a Research Professor at Graphic Era (deemed to be University), Dehradun, India and a Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia.

He is Editor-in-Chief of the International Journal of Mathematical, Engineering, and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; Series Editor of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and Guest Editor and Associate Editor for various journals.

His fields of research are reliability theory and applied mathematics.

Prof. Ram is a Senior Member of the IEEE, Senior Life Member of the Operational Research Society of India, the Society for Reliability Engineering, Quality and Operations Management in India, the Indian Society of Industrial and Applied Mathematics. He is a member of the organizing committee of several international and national conferences, seminars, and workshops. He was conferred the “Young Scientist Award” by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009, and given the “Best Faculty Award” in 2011; “Research Excellence Award” in 2015; and “Outstanding Researcher Award” in 2018 for his significant contributions in academics and research at Graphic Era (deemed to be University), Dehradun, India. Most recently, he received the "Excellence in Research of the Year-2021 Award” from the Honourable Chief Minister of the Uttarakhand State, India.

Affiliations and expertise

Department of Mathematics, Computer Science and Engineering, Graphic Era (deemed to be University), Dehradun, India

Life Sciences

Physical Sciences & Engineering

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