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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Request a sales quoteEngineering 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.
- Uses case studies from industry practice to explain innovative solutions to real world risk assessment problems
- Addresses the full interdisciplinary range of topics that influence this complex field
- Provides brief introductions to important concepts, including risk and reliability analysis and fuzzy reliability
Students and researchers of engineering and applied maths interested in safety and reliability engineering. Advanced engineers working in industries including systems engineering, industrial engineering, and process engineering
1. Bayesian networks for failure analysis of complex systems using different data sources
2. Hybrid failure modes and effect analysis model for reliability and safety evaluation of pressurized steam trap
3. Reliability and availability analysis of a standby system with activation time and varying demand
4. Fuzzy attack tree analysis of security threat assessment in an internet security system using algebraic t-norm and t-conorm
5. A new flexible extension to a lifetime distributions, properties, inference, and applications in engineering science
6. Markov and semi-Markov models in system reliability
7. Emerging trends and future directions in software reliability growth modelling
8. Reliability and profit analysis of a markov model having cost-free warranty with waiting repair facility
9. Semi-Markov modeling applications in system availability analysis
10. An a-cut interval-based similarity aggregation method to evaluate fault tree events for system safety under fuzzy environment
11. Business analytics to advance industrial safety management
12. Risk assessment and management of fire-induced domino effects in chemical industrial park
13. Stability assessment using Bayesian network control for inverters in smart grid
- No. of pages: 282
- Language: English
- Edition: 1
- Published: September 23, 2022
- Imprint: Elsevier
- Paperback ISBN: 9780323919432
- eBook ISBN: 9780323913836
HG
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, IndiaMR
Mangey Ram
Prof. Mangey Ram received the Ph.D. degree major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for around fourteen years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently the Research Professor at Graphic Era (Deemed to be University), Dehradun, India & Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia. Before joining the Graphic Era, he was a Deputy Manager (Probationary Officer) with Syndicate Bank for a short period.
Affiliations and expertise
Department of Mathematics; Computer Science and Engineering, Research Professor, Graphic Era (Deemed to be University), Dehradun, IndiaRead Engineering Reliability and Risk Assessment on ScienceDirect