Reliability Analysis and Asset Management of Engineering Systems

Reliability Analysis and Asset Management of Engineering Systems discusses methods to evaluate the reliability and availability of complex systems, such as simulation-based approaches, in the context of Industry 4.0's digitization. It fills a gap by linking systems reliability and asset management and making simulation-based availability analysis more accessible to industry.

Format: Paperback / softback
Length: 318 pages
Publication date: 29 September 2021
Publisher: Elsevier Science Publishing Co Inc

Reliability Analysis and Asset Management of Engineering Systems is a comprehensive guide that delves into effective methods for assessing the reliability and availability of complex systems, encompassing a wide range of techniques, including simulation-based approaches. With the advent of Industry 4.0, driven by the increasing digitization of mechanical processes, there has been a significant increase in the interaction between machines and monitoring and control systems, resulting in a heightened complexity of these systems. Consequently, conducting reliability and availability analyses for these complex systems has become increasingly challenging, as the interdependencies between machines have become more intricate, and the analysis of the flexibility of production systems to respond to machinery failures may necessitate advanced simulation techniques.

To address this gap, this book offers a valuable solution by seamlessly linking the concepts of systems reliability and asset management. It then makes these solutions more accessible to the industry by providing a comprehensive explanation of the availability analysis of complex systems based on simulation methods that emphasize Petri nets.

In the first chapter, the book provides an overview of the importance of reliability and availability analysis in engineering systems. It highlights the critical role that these analyses play in ensuring the safe and efficient operation of these systems, particularly in industries such as transportation, energy, and manufacturing. The chapter also introduces the basic principles of systems reliability and asset management, including failure modes, effects, and criticality analysis (FMECA).

Chapter 2 delves into the evaluation of reliability and availability of complex systems using simulation-based methods. It discusses the various simulation techniques available, such as finite element analysis (FEA), computational fluid dynamics (CFD), and discrete event simulation (DES). The chapter also provides an in-depth explanation of the Petri net modeling approach, which is widely used in simulation-based reliability analysis.

Chapter 3 explores the application of reliability and availability analysis in real-world engineering systems. It provides case studies and examples from various industries, such as transportation, energy, and manufacturing, to demonstrate the practical implications of these methods. The chapter also discusses the challenges and limitations associated with simulation-based analysis and highlights the importance of interdisciplinary collaboration in addressing these challenges.

Chapter 4 discusses the role
Reliability Analysis and Asset Management of Engineering Systems is a comprehensive guide that delves into effective methods for assessing the reliability and availability of complex systems, encompassing a wide range of techniques, including simulation-based approaches. With the advent of Industry 4.0, driven by the increasing digitization of mechanical processes, there has been a significant increase in the interaction between machines and monitoring and control systems, resulting in a heightened complexity of these systems. Consequently, conducting reliability and availability analyses for these complex systems has become increasingly challenging, as the interdependencies between machines have become more intricate, and the analysis of the flexibility of production systems to respond to machinery failures may necessitate advanced simulation techniques.

To address this gap, this book offers a valuable solution by seamlessly linking the concepts of systems reliability and asset management. It then makes these solutions more accessible to the industry by providing a comprehensive explanation of the availability analysis of complex systems based on simulation methods that emphasize Petri nets.

In the first chapter, the book provides an overview of the importance of reliability and availability analysis in engineering systems. It highlights the critical role of these analyses in ensuring the safe and efficient operation of these systems, particularly in industries such as transportation, energy, and manufacturing. The chapter also introduces the basic principles of systems reliability and asset management, including failure modes, effects, and criticality analysis (FMECA).

Chapter 2 delves into the evaluation of reliability and availability of complex systems using simulation-based methods. It discusses the various simulation techniques available, such as finite element analysis (FEA), computational fluid dynamics (CFD), and discrete event simulation (DES). The chapter also provides an in-depth explanation of the Petri net modeling approach, which is widely used in simulation-based reliability analysis.

Chapter 3 explores the application of reliability and availability analysis in real-world engineering systems. It provides case studies and examples from various industries, such as transportation, energy, and manufacturing, to demonstrate the practical implications of these methods. The chapter also discusses the challenges and limitations associated with simulation-based analysis and highlights the importance of interdisciplinary collaboration in addressing these challenges.

Chapter 4 discusses the integration of reliability and asset management in engineering systems. It emphasizes the importance of considering both reliability and availability aspects in the design and operation of engineering systems, and discusses the use of optimization techniques to improve the overall performance of these systems. The chapter also highlights the role

In conclusion, Reliability Analysis and Asset Management of Engineering Systems is a valuable resource for professionals and researchers in the field systems engineering, reliability engineering, and asset management fields. It provides a comprehensive and up-to-date overview of the latest developments in the field, covering a wide range. The book emphasizes the importance of integrating the concepts of systems reliability and asset management in assessing the reliability and availability of complex systems, and provides practical guidance. The book provides a comprehensive explanation of the availability analysis of complex systems based on simulation methods that emphasize Petri nets. The book is well-organized, well-written, and easy to read, making it an invaluable resource for students, professionals, and researchers in the field.

Weight: 520g
Dimension: 229 x 152 (mm)
ISBN-13: 9780128235218