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Predictive Maintenance in Smart Factories : Architectures, Methodologies, and Use-cases (Information Fusion and Data Science)

By: Enrico Macii (Edited by) , Massimo Ippolito (Edited by) , Niamh O’Mahony (Edited by) , Nikolaos Nikolakis (Edited by) , Sotirios Makris (Edited by) , Tania Cerquitelli (Edited by)

Extended Catalogue

Ksh 20,500.00

Format: Hardback or Cased Book

ISBN-10: 9811629390

ISBN-13: 9789811629396

Collection / Series: Information Fusion and Data Science

Collection Type: Publisher collection

Edition statement: 2021 ed.

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Aug 27th, 2021

Publication Status: Active

Product extent: 234 Pages

Weight: 522.00 grams

Dimensions (height x width x thickness): 16.10 x 24.10 x 2.30 cms

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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.

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.


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