Reliability Analysis and Asset Management of Engineering Systems

Erscheinungsjahr 2021
ISBN: 978-0-12-823521-8
Verlag: William Andrew Publishing

Buch, Englisch, 318 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 520 g

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.

Autoren/Hrsg.

Souza, Gilberto Francisco Martha de

Melani, Arthur Henrique De Andrade

Michalski, Miguel Angelo De Carvalho

Silva, Renan Favarao Da

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik
• Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Immobilien & Anlagen

Inhaltsverzeichnis

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

Über Autor(innen)

Silva, Renan Favarao Da
Renan Favarao Da Silva works in the Dept de Engenharia Mecatrônica e de Sistemas Mecânicos at Cidade Universitaria in Sau Paulo, Brazil.

Melani, Arthur Henrique De Andrade
Arthur Henrique de Andrade Melani is a Brazilian-born and based engineer and academic researcher. He graduated (2013) as Mechatronics Engineer at the University of Sao Paulo and holds a Master's degree (2015) and a Ph.D. (2020) in Mechanical Engineering from the same university. Since his graduation, he has actively participated in several research projects on Reliability Centered Maintenance, Fault Detection and Diagnosis, and Asset Management. His research has been mainly applied in the power generation sector, especially in hydroelectric and thermoelectric plants. He is currently a postdoctoral scholar at the Polytechnic School of the University of Sao Paulo.

Michalski, Miguel Angelo De Carvalho
Miguel Angelo De Carvalho Michalski works in the Department de Engenharia Mecatrônicae de Sistemas Mecanicos in Cidade Universitaria, Sau Paulo, Brazil.

Souza, Gilberto Francisco Martha de
Gilberto Francisco Martha de Souza is an associate professor at the Department of Mechatronics and Mechanical Systems,
Escola Politécnica - University of São Paulo, Brazil. He is also the leader of the Reliability and Risk Analysis Laboratory, and has led a number of research projects aiming at defining risk-based maintenance planning of complex systems to improve system reliability and availability such as power plants (hydro and thermal), topside oil rigs equipment and mechanical equipment. He is currently associate editor of the journal ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering.