Reliability Analysis and Asset Management of Engineering Systems Paperback / softback
Edited by Gilberto Francisco Martha de (Department of Mechatronics and Mechanical Systems, Escola Polit Souza, Escola Politecnica da USP, Arthur Henrique De Andrade (University of Sao Paulo, Brazil) Melani, Miguel Angelo De Carvalho (Department de Engenharia Mecatronicae de Sistemas Mecanicos, C Michalski, Renan Favarao Da (Dept de Engenharia Mecatronica e de Sistemas Mecanicos, Cidade Universitari Silva
Part of the Advances in Reliability Science series
Paperback / softback
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:318 pages, Approx. 150 illustrations; Illustrations, unspecified
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:29/09/2021
- Category:
- ISBN:9780128235218
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:318 pages, Approx. 150 illustrations; Illustrations, unspecified
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:29/09/2021
- Category:
- ISBN:9780128235218
