Reliability Modeling in Industry 4.0, First Edition
- 10h 18m
- Liudong Xing, Mangey Ram
- Elsevier Science and Technology Books, Inc.
- 2023
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.
- Provides innovative reliability modeling tools related to the application of Industry 4.0 technologies
- Includes case studies from industries such as rail, energy, and computer systems
- Describes techniques for the successful digital transformation of industries for sophisticated reliability systems
About the Author
Prof. Mangey Ram received the Ph.D. degree major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for around fourteen years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently the Research Professor at Graphic Era (Deemed to be University), Dehradun, India & Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia. Before joining the Graphic Era, he was a Deputy Manager (Probationary Officer) with Syndicate Bank for a short period.
Liudong Xing is currently a Professor with the Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, USA. Her research interests include reliability and resilience modeling, analysis and optimization of complex systems and networks (e.g., Internet of Things and wireless sensor networks). Prof. Xing has received multiple teaching and scholar awards and was co-recipient of the Best (Student) Paper Award at several international conferences and journals. She has published over 290 journal articles, and two 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.
In this Book
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Reliability Analysis and Maintenance Optimization for the Cost-Based Component Maintenance Priority with Industry 4.0
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System Reliability in IoT-Based Data Collecting Systems Using Low-Cost Particulate Matter Sensors
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Reliability and Risk Analysis in Critical Infrastructure Protection
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Applied Issues of Chaotic Dynamics in the Management of Unique Evolutionary Systems
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Safety-Critical Railway Systems
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Supporting Digital Transformation in Micro and Small Enterprise (MSE): An Operational Framework
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Modeling and Object Recognition Skill Transfer in Industrial Intelligent Robots
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Systems Reliability for Industrial Multivariate Processes: A Comparative Approach
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Predicting Vulnerability Discovery Processes in an Operating System: Stochastic Modeling Approach
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Efficiency of Condensing Thermal Power Plant as a Complex System—An Algorithm for Assessing And Improving Energy Efficiency and Reliability During Operation and Maintenance
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Maintenance and Safety of Industrial Systems: Developed Model for Assessing the Criticality of Elements of Technical Systems
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Risk-Informed Decision-Making: Overview and Applications
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Digital Transformation of Engineering Education for Smart Education: A Systematic Literature Review
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MSS Principles and Application
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On the Combined m-Consecutive-k-Out-of-n: F and Consecutive kc-Out-of-n: F Reliability System: Some Advances
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MIRCE Science Approach to Real-Time Prediction of Fleet Reliability with Industry 4.0
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Reliability Assessment of an Electrified Regional Commuter Train in Greater Munich Area
