Reliability Modeling in Industry 4.0

1st Edition - March 13, 2023
Editors: Mangey Ram, Liudong Xing
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 2 0 4 - 6
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 9 6 7 3 - 0

Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, including power,… Read more

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Reliability Modeling with Industry 4.0 explores the emerging theoretical and practical developments in reliability engineering in highly digitized industries, including power, computer systems, railway systems, and robotics. Drawing on leading research from around the globe, as well as the latest in industry practice, this book provides cutting edge advice on how to integrate a fully digitized industry 4.0 system for enhanced reliability and reduced maintenance cost. Technologies such as big data, artificial intelligence, and the industrial internet of things are addressed in the context of reliability engineering, providing practical advice on applications.

Cover image
Title page
Table of Contents
Copyright
Contributors
Editors Biography
Preface
1: Reliability analysis and maintenance optimization for the cost-based component maintenance priority with Industry 4.0
Abstract
1: Introduction
2: Cost-based component maintenance priority
3: Discussion for multiple components
4: Application of an aircraft warning system
5: Conclusions
References
2: System reliability in IoT-based data collecting systems using low-cost particulate matter sensors
Abstract
Acknowledgments
1: Introduction
2: People’s health and the particulate matter
3: Methodology
4: Related works
5: The calibration point of view
6: The reliability assurance point of view
7: Low-cost configurations for PM monitoring and reliability assurance
8: Conclusions
References
3: Reliability and risk analysis in critical infrastructure protection
Abstract
1: Introduction
2: Underlying models
3: Event-tree network
4: Conclusion
References
4: Applied issues of chaotic dynamics in the management of unique evolutionary systems
Abstract
1: Introduction
2: About key concepts and definitions
3: Trajectory analysis in phase space of state
4: Assessment of resilience with using means of difficulties
5: Assessment of variability of the system
6: Practical example of the analysis of the evolution of a unique evolutionary system
7: Conclusions
References
5: Safety-critical railway systems
Abstract
1: General provisions
2: Railway systems functional safety and dependability methods
3: Functional safety and artificial intelligence
4: Functional safety and digital twins
5: Conclusion
References
6: Supporting digital transformation in Micro and Small Enterprise (MSE): An operational framework
Abstract
1: Introduction
2: Development of the operational framework to assess the digital maturity of MSEs
3: Characterization of the digital maturity degree of Brazilian MSEs
4: Concluding remarks
References
7: Modeling and object recognition skill transfer in industrial intelligent robots
Abstract
Acknowledgment
1: Introduction
2: Related work
3: Original contribution
4: Background
5: Methodology
6: Experimental platform
7: Experiments
8: Results
9: Experimental results
10: Conclusions and future work
References
8: Systems reliability for industrial multivariate processes: A comparative approach
Abstract
1: Introduction
2: Case 1. MPR Through univariate PR
3: Case 2. Dimensional transformation and Bayesian network
4: Case 3. MVPR based on Mahalanobis distance and SVM
5: Conclusions
References
9: Predicting vulnerability discovery processes in an operating system: Stochastic modeling approach
Abstract
1: Introduction
2: Preliminaries
3: An empirical study
4: Conclusions
References
10: Efficiency of condensing thermal power plant as a complex system—An algorithm for assessing and improving energy efficiency and reliability during operation and maintenance
Abstract
1: Efficiency of condensing thermal power plant
2: Basic definitions and overview of previous research of efficiency of TPPs
3: Theoretical basis and principles for analysis and definition of the concept of a new or revitalized thermal energy block
4: Algorithm for assessment and improvement of energy efficiency, competitiveness, and level of reliability in the period of operation and maintenance
5: Algorithm of activities to improve competitiveness and energy efficiency
6: Analysis of the application of the algorithm to the condensation TPP ugljevik of installed power 300 MW
7: Results and discussion of the analysis on the efficiency, competitiveness, and reliability of the TPP Ugljevik I
8: Conclusion
References
11: Maintenance and safety of industrial systems: Developed model for assessing the criticality of elements of technical systems
Abstract
1: Maintenance and safety of industrial systems
2: Security of technical systems
3: Development of an algorithm for assessing the criticality of parts of a technical system
4: Application of critical system assessment algorithm of technical system elements in industrial practice
5: Discussion of results
6: Conclusion
References
12: Risk-informed decision-making: Overview and applications
Abstract
Acknowledgments
1: Introduction
2: Overview of risk-informed decision-making
3: Risk-informed decision-making in high-complexity industries
4: Guidance for implementing risk-informed decision-making
5: RIDM implementation in industry 4.0
6: Conclusions
References
13: Digital Transformation of Engineering Education for Smart Education: A systematic literature review
Abstract
Acknowledgment
1: Introduction
2: Education 4.0 and Engineering Education transformation
3: Real-world research problem
4: Methods
5: Educational Technology or e-Learning
6: Engineering Education
7: Smart Education
8: Educational technologies enhanced by Industry 4.0
9: Remarks and arguments about the literature review
10: Conclusions and future works
References
14: MSS principles and application
Abstract
1: Introduction
2: Reliability and failure analysis mathematical expression on multistate systems
3: Multistate systems modeling tools and techniques
4: Aspects of MSS in industry 4.0: Some challenges and opportunity
5: Application examples
6: Conclusion
References
15: On the combined m-consecutive-k-out-of-n: F and consecutive kc-out-of-n: F reliability system: Some advances
Abstract
1: Introduction
2: The signature vector of the combined m-consecutive-k-out-of-n: F and consecutive kc-out-of-n: F structure
3: Performance characteristics of the m-consecutive-k-out-of-n: F and consecutive kc-out-of-n: F structure
4: Signature-based comparisons among consecutive-type systems
5: An application
6: Discussion
References
16: MIRCE Science approach to real-time prediction of fleet reliability with Industry 4.0
Abstract
1: Introduction
2: MIRCE Science_ Reliability is absence of failure
3: Brief overview of MIRCE Science
4: Industry 4.0
5: MIRCE Science_ Real-time fleet reliability predictions
6: Conclusions
Dedication
References
17: Reliability assessment of an electrified regional commuter train in greater Munich area
Abstract
1: Introduction
2: Case study and data analysis
3: Operational mode analysis of traction drive
4: Reliability assessment
5: Conclusion
References
Index

Mangey Ram

Prof. Mangey Ram received his Ph.D. in Mathematics (major) and Computer Science (minor) from the G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a faculty member for ca. 15 years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently a Research Professor at Graphic Era (deemed to be University), Dehradun, India and a Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia.

He is Editor-in-Chief of the International Journal of Mathematical, Engineering, and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; Series Editor of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and Guest Editor and Associate Editor for various journals.

His fields of research are reliability theory and applied mathematics.

Prof. Ram is a Senior Member of the IEEE, Senior Life Member of the Operational Research Society of India, the Society for Reliability Engineering, Quality and Operations Management in India, the Indian Society of Industrial and Applied Mathematics. He is a member of the organizing committee of several international and national conferences, seminars, and workshops. He was conferred the “Young Scientist Award” by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009, and given the “Best Faculty Award” in 2011; “Research Excellence Award” in 2015; and “Outstanding Researcher Award” in 2018 for his significant contributions in academics and research at Graphic Era (deemed to be University), Dehradun, India. Most recently, he received the "Excellence in Research of the Year-2021 Award” from the Honourable Chief Minister of the Uttarakhand State, India.

Affiliations and expertise

Department of Mathematics, Computer Science and Engineering, Graphic Era (deemed to be University), Dehradun, India

Liudong Xing

Liudong Xing is currently a professor at the Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, United States. Her research interests include reliability and resilience modeling, analysis, and optimization of complex systems and networks (e.g., IoT and wireless sensor networks). Prof. Xing has received multiple teaching and scholar awards and was corecipient of the Best (Student) Paper Award at several international conferences and journals. She has published over 290 journal articles, and 2 books titled Binary Decision Diagrams and Extensions for System Reliability Analysis and Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors. She has served as an associate editor or editorial board member of multiple journals, including Reliability Engineering & System Safety, IEEE Internet of Things Journal, IEEE Access, and International Journal of Mathematical, Engineering and Management Sciences. She is a fellow of the International Society of Engineering Asset Management and a senior member of IEEE.

Affiliations and expertise

Professor, Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, USA

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

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