- 546 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Reliability Modeling in Industry 4.0
About this book
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
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Reliability Modeling in Industry 4.0 by Mangey Ram,Liudong Xing in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Front Matter
- Table of Contents
- Copyright
- Contributors
- Editors Biography
- Preface
- List of Illustrations
- List of Tables
- 1 : Reliability analysis and maintenance optimization for the cost-based component maintenance priority with Industry 4.0
- 2 : System reliability in IoT-based data collecting systems using low-cost particulate matter sensors
- 3 : Reliability and risk analysis in critical infrastructure protection
- 4 : Applied issues of chaotic dynamics in the management of unique evolutionary systems
- 5 : Safety-critical railway systems
- 6 : Supporting digital transformation in Micro and Small Enterprise (MSE): An operational framework
- 7 : Modeling and object recognition skill transfer in industrial intelligent robots
- 8 : Systems reliability for industrial multivariate processes: A comparative approach
- 9 : Predicting vulnerability discovery processes in an operating system: Stochastic modeling approach
- 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
- 11 : Maintenance and safety of industrial systems: Developed model for assessing the criticality of elements of technical systems
- 12 : Risk-informed decision-making: Overview and applications
- 13 : Digital Transformation of Engineering Education for Smart Education: A systematic literature review
- 14 : MSS principles and application
- 15 : On the combined m-consecutive-k-out-of-n: F and consecutive kc-out-of-n: F reliability system: Some advances
- 16 : MIRCE Science approach to real-time prediction of fleet reliability with Industry 4.0
- 17 : Reliability assessment of an electrified regional commuter train in greater Munich area
- Index
- A