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.
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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
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Draws on industry case studies to provide detailed descriptions of how to integrate and optimize novel digital technologies for optimum reliability
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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Produktdetaljer
ISBN
9780323992046
Publisert
2023-03-15
Utgiver
Elsevier - Health Sciences Division
Vekt
880 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
546