This reference text introduces latest statistical modeling techniques of reliability structures and industrial processes. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mathematics, and statistics.
This reference text introduces latest statistical modeling techniques of reliability structures and industrial processes. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mathematics, and statistics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ioannis S. Triantafyllou is an assistant professor in the Department of Computer Science and Biomedical Informatics at the University of Thessaly, Greece. He received his B.S. degree in Mathematics from the University of Athens, Greece in 2002, and the M.Sc. and Ph.D. degrees in Statistics from the University of Piraeus, Greece in 2005 and 2009 respectively. He has served as a referee for more than 20 scientific journals. He has published over 60 peer-reviewed papers in international refereed scientific journals, edited volumes, and conferences. His research interests include Applied Probability, Nonparametric Statistics, Reliability Theory, and Statistical Process Control. Mangey Ram received his Ph.D., major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar in 2008. He is an editorial board member in many international journals. He has published 102 research publications in national and international journals of repute. His fields of research are Operations Research, Reliability Theory, Fuzzy Reliability, and System Engineering. Currently, he is working as a Professor at Graphic Era University, Dehradun, India.
Inhaltsangabe
1. A Survey on Statistical Reliability Measures of Coherent Systems: Advances and Practical Applications. 2. Reliability Study of Coherent Structures with Cold Standby Components. 3. Multi-state Statistical Modeling. 4. On Computing the Signature of Reliability Models. 5. A Survey on Consecutive-type Reliability Systems. 6. Signature-based Reliability Study of m-consecutive k,l-out-of-n: F Systems. 7. Reliability, Availability, and Maintainability Analysis for Industry Production Processes. 8. A Probabilistic Approach for Evaluating the Performance of Reliability Structures. 9. On the Lifetime of Generalized Consecutive Systems. 10. Statistical Methods for Reliability Engineering: A General Approach. 11. Compound Sooner Waiting Time Problems in Multistate Trials: Advances and Applications in Reliability Engineering. 12. Big Data Analytics for Engineers: Advances and Applications. 13. On the Dimensionality Reduction of Time Series Manufacturing Data: Advances. 14. A Predictive Maintenance Approach for Industrial Data. 15. Prognostics and Health Management under Specific Degradation Models.
1. A Survey on Statistical Reliability Measures of Coherent Systems: Advances and Practical Applications. 2. Reliability Study of Coherent Structures with Cold Standby Components. 3. Multi-state Statistical Modeling. 4. On Computing the Signature of Reliability Models. 5. A Survey on Consecutive-type Reliability Systems. 6. Signature-based Reliability Study of m-consecutive k,l-out-of-n: F Systems. 7. Reliability, Availability, and Maintainability Analysis for Industry Production Processes. 8. A Probabilistic Approach for Evaluating the Performance of Reliability Structures. 9. On the Lifetime of Generalized Consecutive Systems. 10. Statistical Methods for Reliability Engineering: A General Approach. 11. Compound Sooner Waiting Time Problems in Multistate Trials: Advances and Applications in Reliability Engineering. 12. Big Data Analytics for Engineers: Advances and Applications. 13. On the Dimensionality Reduction of Time Series Manufacturing Data: Advances. 14. A Predictive Maintenance Approach for Industrial Data. 15. Prognostics and Health Management under Specific Degradation Models.
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