Reliability analysis and asset management of engineering systems / by Gilberto Francisco Martha de Souza, Adherbal Caminado Netto, Arthur Henrique De Andrade Melani, Miguel Angelo De Carvalho Michalski, Renan Favarao Da Silva

By:

Martha de Souza, Gilberto Francisco [author.]

Contributor(s):

Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780128235218

Subject(s):

Online resources:

Abstract: 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.

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Title notes ( 2 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
E-book	UMPLIB PEKAN	Non-fiction	TA169 .M37 2022 (Browse shelf(Opens below))	1	Available		E000003262

ScienceDirect EBS 2023

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.