Reliability Analysis and Asset Management of Engineering Systems
- 1st Edition - September 24, 2021
- Imprint: Elsevier
- 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
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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
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- Chapter 1: Introduction
- Abstract
- 1.1: Analysis of modern engineering systems
- 1.2: Book proposal
- 1.3: Book organization
- References
- Chapter 2: Reliability and maintenance fundamentals
- Abstract
- 2.1: Introduction
- 2.2: Reliability concepts
- 2.3: Risk analysis
- 2.4: Maintenance practices and planning
- 2.5: Concluding remarks
- References
- Chapter 3: Engineering systems fundamentals
- Abstract
- 3.1: Systems theory
- 3.2: Engineering systems
- 3.3: Complex engineering system hazard analysis
- 3.4: Systems engineering concepts applied to engineering systems design
- 3.5: Robust design
- 3.6: Model-based engineering fundamentals
- 3.7: Additional relevant complex engineering systems design topics
- References
- Chapter 4: Analysis of systems' reliability and availability
- Abstract
- 4.1: Introduction
- 4.2: Advanced techniques for reliability and availability analyses of complex systems
- 4.3: Comments on imperfect maintenance
- 4.4: Development of system reliability and availability analyses
- References
- Chapter 5: Engineering systems fault detection methods
- Abstract
- 5.1: Fault detection fundamental concepts
- 5.2: Fault detection methods and applications
- 5.3: Dealing with uncertainties
- References
- Chapter 6: Engineering systems' fault diagnosis methods
- Abstract
- 6.1: Fault diagnosis in the context
- 6.2: Challenges in fault diagnosis
- 6.3: Fault diagnosis methods
- 6.4: Development of a fault diagnosis process
- References
- Chapter 7: Framework for engineering systems health monitoring and fault diagnosis
- Abstract
- 7.1: Fundamentals of health monitoring and fault diagnosis
- 7.2: A framework for health monitoring and fault diagnosis
- 7.3: Challenges of health monitoring and fault diagnosis
- References
- Chapter 8: Engineering systems asset management
- Abstract
- 8.1: Asset management fundamentals
- 8.2 Maintenance in asset management landscape
- 8.3: Maintenance planning in asset management
- 8.4: Maintenance planning decision-making
- 8.5: Maintenance planning performance evaluation and improvement
- References
- Chapter 9: Examples of application
- Abstract
- 9.1: Methods and techniques for the examples of application
- 9.2: Analysis of a CODOG propulsion system of military ships
- 9.3: Analysis of a FPSO power generation system
- 9.4: Final remarks
- References
- Chapter 10: Concluding remarks
- Abstract
- 10.1: Book contributions
- 10.2: Future developments
- Index
- Edition: 1
- Published: September 24, 2021
- Imprint: Elsevier
- No. of pages: 318
- Language: English
- Paperback ISBN: 9780128235218
- eBook ISBN: 9780128235225
GS
Gilberto Francisco Martha de Souza
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.
Affiliations and expertise
Department of Mechatronics and Mechanical Systems, Escola Politecnica - University of Sao Paulo, BrazilAM
Arthur Henrique De Andrade Melani
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.
Affiliations and expertise
University of Sao Paulo, BrazilMM
Miguel Angelo De Carvalho Michalski
Miguel Angelo De Carvalho Michalski works in the Department de Engenharia Mecatrônicae de Sistemas Mecanicos in Cidade Universitaria, Sau Paulo, Brazil.
Affiliations and expertise
Department de Engenharia Mecatrônicae de Sistemas Mecanicos, Cidade Universitaria, Sau Paulo, BrazilRS
Renan Favarao Da Silva
Renan Favarao Da Silva works in the Dept de Engenharia Mecatrônica e de Sistemas Mecânicos at Cidade Universitaria in Sau Paulo, Brazil.
Affiliations and expertise
Dept de Engenharia Mecatrônica e de Sistemas Mecânicos, Cidade Universitaria, Sau Paulo, BrazilRead Reliability Analysis and Asset Management of Engineering Systems on ScienceDirect