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Reliability Analysis and Asset Management of Engineering Systems
Provides practical innovative methods that can be used to evaluate reliability and availability of complex systems, including simulation-based methods
Gilberto Francisco Martha de Souza (Edited by), (Edited by), Arthur Henrique De Andrade Melani (Edited by), Miguel Angelo De Carvalho Michalski (Edited by), Renan Favarao Da Silva (Edited by)
9780128235218, Elsevier Science
Paperback, published 29 September 2021
318 pages, Approx. 150 illustrations
22.9 x 15.2 x 2.1 cm, 0.52 kg
Reliability Analysis and Asset Management of Engineering Systems explains methods that can be used to evaluate reliability and availability of complex systems, including simulation-based methods. The increasing digitization of mechanical processes driven by Industry 4.0 increases the interaction between machines and monitoring and control systems, leading to increases in system complexity. For those systems the reliability and availability analyses are increasingly challenging, as the interaction between machines has become more complex, and the analysis of the flexibility of the production systems to respond to machinery failure may require advanced simulation techniques. This book fills a gap on how to deal with such complex systems by linking the concepts of systems reliability and asset management, and then making these solutions more accessible to industry by explaining the availability analysis of complex systems based on simulation methods that emphasise Petri nets.
1. Introduction to Reliability Analysis and Asset Management of Engineering Systems
2. Reliability and Maintenance Fundamentals
3. Engineering Systems Fundamentals
4. Systems Reliability and Availability Analysis
5. Engineering Systems Fault Detection Methods
6. Engineering Systems Fault Diagnosis Methods
7. Framework for Systems Health Monitoring and Fault Diagnosis
8. Engineering Systems Asset Management
9. Examples of Applications of Reliability Analysis and Asset Management of Engineering Systems
10. Conclusion: Reliability Analysis and Asset Management of Engineering Systems
Subject Areas: Energy technology & engineering [TH], Industrial relations, health & safety [KNX]
