Predictive maintenance in smart factories : architectures, methodologies, and use-cases / Tania Cerquitelli, Nikolaos Nikolakis, Niamh O'Mahony, Enrico Macii, Massimo Ippolito, Sotirios Makris, editors.
2021
TS192
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Title
Predictive maintenance in smart factories : architectures, methodologies, and use-cases / Tania Cerquitelli, Nikolaos Nikolakis, Niamh O'Mahony, Enrico Macii, Massimo Ippolito, Sotirios Makris, editors.
ISBN
9789811629402 (electronic bk.)
9811629404 (electronic bk.)
9789811629396 (print)
9811629390
9811629404 (electronic bk.)
9789811629396 (print)
9811629390
Published
Singapore : Springer, 2021.
Language
English
Description
1 online resource (xiv, 234 pages) : illustrations (some color)
Item Number
10.1007/978-981-16-2940-2 doi
Call Number
TS192
Dewey Decimal Classification
658.2/02
Summary
This book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 2, 2021).
Added Author
Series
Information fusion and data science, 2510-1536
Available in Other Form
Print version: 9789811629396
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Table of Contents
1. Industrial digitisation and maintenance: Present and Future
2. A hybrid cloud-to-edge predictive maintenance platform
3. Data-driven predictive maintenance: a methodology primer
4. Services to facilitate predictive maintenance in Industry4.0
5. Predictive analytics in robotic industry.
2. A hybrid cloud-to-edge predictive maintenance platform
3. Data-driven predictive maintenance: a methodology primer
4. Services to facilitate predictive maintenance in Industry4.0
5. Predictive analytics in robotic industry.