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 INDICE: 1. Model-based reliability and safety engineering 2. Reliability analysis of industrial project process based on Coxian distribution 3. System Reliability in IoT-based data collecting systems using Low-cost Particulate Matter Sensors 4. Reliability Analysis of k-out-of-n Warm Standby Systems subjected to Switch Failures 5. Integrated Reachback Information Systems and Service- Predictive Maintenance and Prescriptive Analytics 6. Applied Issues of Chaotic Dynamics in the Management of Unique Evolutionary Systems 7. Safety-related railway systems 8. Supporting Digital Transformation In Micro And Small Enterprises (MSE): An Operational Framework 9. Modelling and Skills Transfer in Industrial intelligent Robots 10. Systems reliability for industrial multivariate processes 11. Vulnerability Discovery in Open Source Software: Stochastic Modeling Approach 12. Efficiency of condensing thermal power plant as a complex system 13. Maintenance and safety of industrial systems - developed model for assessing the criticality of elements of technical systems 14. Technologies, Challenges and Research Perspective of 5N New Radio Towards URLLC, eMBB and massive Machine Type Communication 15. Risk-Informed Decision Making: Overview and applications 16. Uncertainty quantification of system reliability in the context of Industry 4.0 17. Digital Transformation of Engineering Education for Industry 4.0 18. Multi-state system modelling according to industry 4.019. On the combined m-consecutive-k-out-of-n: F & consecutive kc-out-of-n: F reliability system: some advances 20. MIRCE Science Approach to Real-Time Management of Fleet Reliability 21. Feasibility Study and Reliability Assessment of an Electrified Commuter Train
- ISBN: 978-0-323-99204-6
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 430
- Fecha Publicación: 01/02/2023
- Nº Volúmenes: 1
- Idioma: Inglés