Reliability Analysis and Asset Management of Engineering Systems
Häftad, Engelska, 2021
Av Gilberto Francisco Martha de Souza, Escola Polit�cnica da USP, Arthur Henrique De Andrade Melani, Miguel Angelo De Carvalho Michalski, Renan Favarao Da Silva, Escola Politécnica da USP, Brazil) Souza, Gilberto Francisco Martha de (Department of Mechatronics and Mechanical Systems, Escola Politecnica - University of Sao Paulo, Escola Politecnica da USP, Brazil) Melani, Arthur Henrique De Andrade (University of Sao Paulo, Brazil) Michalski, Miguel Angelo De Carvalho (Department de Engenharia Mecatronicae de Sistemas Mecanicos, Cidade Universitaria, Sau Paulo, Brazil) Silva, Renan Favarao Da (Dept de Engenharia Mecatronica e de Sistemas Mecanicos, Cidade Universitaria, Sau Paulo, Escola Politécnica Da Usp
2 589 kr
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.
- 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
Produktinformation
- Utgivningsdatum2021-09-29
- Mått152 x 229 x undefined mm
- Vikt520 g
- FormatHäftad
- SpråkEngelska
- SerieAdvances in Reliability Science
- Antal sidor318
- FörlagElsevier Science
- ISBN9780128235218