Data Intensive Industrial Asset Management

IoT-based Algorithms and Implementation

Farhad Balali, Jessie Nouri, Adel Nasiri, Tian Zhao (Autoren)

Buch | Hardcover

XXI, 236 Seiten

2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-35929-4 (ISBN)

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This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.

Adel Nasiri is presently Professor and Associate Dean for Research in the College of Engineering and Applied Sciences and Director, Center for Sustainable Electrical Energy Systems in the Department of Electrical Engineering and Computer Science at the University of Wisconsin-Milwaukee. He is also the site director for NSF GRAPES center. His research interests are renewable energy systems including wind and solar energy, microgrids, and energy storage. Dr. Nasiri has been the primary investigator of several federal and industry funded research projects and has published numerous technical journal and conference papers on related topics. He also holds five patent disclosures. He is a co-author of the book "Uninterruptible Power Supplies and Active Filters," CRC Press, Boca Raton, FL. As the associate dean, he has been leading several institute and center activities within the college of engineering and applied sciences. Dr. Nasiri is currently the Editor of IEEE Transactions on Smart Grid, Associate Editor of IEEE Transactions on Industry Applications, Associate Editor of the International Journal of Power Electronics, and Editorial Board Member of Journal of Power Components and Systems. He has also been a member of organizing committee for IEEE conferences including general chair of IEEE International Symposium on Sensorless Control for Electrical Drives (SLED 2012), Technical Vice-Chair for 2013, 2014, 2015 IEEE Energy Conversion Conference and Expo, and general chair of 2014 International Conference on Renewable Energy Research and Applications (ICRERA).

Principles of Internet of Things (IoT).- Asset Management and Maintenance Policies.- Statistical Data Analysis.- Descriptive, Diagnostics, Predictive, and Prescriptive Analysis.- Fault and Risk Analysis.- Predictive Failure Detection Algorithms.- Smart Device Function and Operation.- Data Driven Approaches.- Parameter Selection and Real Time Monitoring.- Edge and Cloud Computing.- Data Analytics and Visualization.- Artificial Intelligence for Predictive Maintenance.- Implementation Tools.- Case Studies.

Erscheinungsdatum	25.01.2020
Zusatzinfo	XXI, 236 p. 132 illus., 126 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	559 g
Themenwelt	Mathematik / Informatik ► Mathematik
	Naturwissenschaften ► Physik / Astronomie
	Technik ► Bauwesen
	Technik ► Maschinenbau
Schlagworte	Big Data Analytics • Edge and Cloud Computing • internet of things • Optimization of Manufacturing Systems Using Intern • Optimization of Manufacturing Systems Using Internet of Things • Predictive Failure Detection Algorithms • Quality Control, Reliability, Safety and Risk
ISBN-10	3-030-35929-8 / 3030359298
ISBN-13	978-3-030-35929-4 / 9783030359294
Zustand	Neuware