S. Trianntafyllou / Ram | Statistical Modeling of Reliability Structures and Industrial Processes | Buch | 978-1-03-206625-7 | sack.de

Buch, Englisch, 246 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 526 g

Reihe: Advanced Research in Reliability and System Assurance Engineering

S. Trianntafyllou / Ram

Statistical Modeling of Reliability Structures and Industrial Processes

Buch, Englisch, 246 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 526 g

Reihe: Advanced Research in Reliability and System Assurance Engineering

ISBN: 978-1-03-206625-7
Verlag: CRC Press


This reference text introduces advanced topics in the field of reliability engineering, introduces statistical modeling techniques, and probabilistic methods for diverse applications.

It comprehensively covers important topics including consecutive-type reliability systems, coherent structures, multi-scale statistical modeling, the performance of reliability structures, big data analytics, prognostics, and health management. It covers real-life applications including optimization of telecommunication networks, complex infrared detecting systems, oil pipeline systems, and vacuum systems in accelerators or spacecraft relay stations. The text will serve as an ideal reference book for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, mathematics, and statistics.
S. Trianntafyllou / Ram Statistical Modeling of Reliability Structures and Industrial Processes jetzt bestellen!

Zielgruppe


Postgraduate and Professional

Weitere Infos & Material


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.


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.


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.