Reliability Modeling in Industry 4.0
Published on 13. March 2023
546 pages
978-0-323-99673-0 (ISBN)
Description
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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Mangey Ram | Liudong Xing
Reliability Modeling in Industry 4.0
Book
03/2023
Elsevier
€216.50
Shipment within 15-20 days
Content
1.Reliability analysis and maintenance optimization for the cost-based component maintenance priority with Industry 4.02.System reliability in IoT-based data collecting systems using low-cost particulate matter sensors3.Reliability and risk analysis in critical infrastructure protection4.Applied issues of chaotic dynamics in the management of unique evolutionary systems5.Safety-critical railway systems6.Supporting digital transformation in Micro and Small Enterprise (MSE): An operational framework7.Modeling and object recognition skill transfer in industrial intelligent robots8.Systems reliability for industrial multivariate processes: A comparative approach9.Predicting vulnerability discovery processes in an operating system: Stochastic modeling approach10.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 systems12.Risk-informed decision-making: Overview and applications13.Digital Transformation of Engineering Education for Smart Education: A systematic literature review14.MSS principles and application15.On the combined m-consecutive-k-out-of-n: F and consecutive kc-out-of-n: F reliability system: Some advances16.MIRCE Science approach to real-time prediction of fleet reliability with Industry 4.017.Reliability assessment of an electrified regional commuter train in greater Munich area
