Limited Offer
Reliability Analysis and Asset Management of Engineering Systems
- 1st Edition - September 24, 2021
- Editors: Gilberto Francisco Martha de Souza, Departamento de Engenharia Mecânica Escola Politécnica da USP, Arthur Henrique De Andrade Melani, Miguel Angelo De Carvalho Michalski, Renan Favarao Da Silva
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 5 2 1 - 8
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 5 2 2 - 5
Reliability Analysis and Asset Management of Engineering Systems explains methods that can be used to evaluate reliability and availability of complex systems, including simulatio… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteReliability 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.
- Explains how to use a monitoring database to perform important tasks including an update of complex systems reliability
- Shows how to diagnose probable machinery-based causes of system performance degradation by using a monitoring database and reliability estimates in an integrated way
- Describes practical techniques for the application of AI and machine learning methods to fault detection and diagnosis problems
Researchers entering the field of digitalization in engineering, and masters students on courses addressing advanced reliability engineering. Reliability engineers in industrial sectors with complex systems such as civil engineering, power, oil and gas, transportation, and processing plants
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
- No. of pages: 318
- Language: English
- Edition: 1
- Published: September 24, 2021
- Imprint: Elsevier
- Paperback ISBN: 9780128235218
- eBook ISBN: 9780128235225
GS
Gilberto Francisco Martha de Souza
AM
Arthur Henrique De Andrade Melani
MM
Miguel Angelo De Carvalho Michalski
RS