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Predictive maintenance in smart factories : architectures, methodologies, and use-cases / Tania Cerquitelli, Nikolaos Nikolakis, Niamh O'Mahony, Enrico Macii, Massimo Ippolito, Sotirios Makris, editors.
- Format:
- Book
- Series:
- Information fusion and data science,. 2510-1536
- Information fusion and data science, 2510-1536
- Language:
- English
- Subjects (All):
- Plant maintenance--Technological innovations.
- Plant maintenance.
- Predictive control.
- Technological innovations.
- Genre:
- Electronic books.
- Physical Description:
- 1 online resource (xiv, 234 pages) : illustrations (some color).
- Place of Publication:
- Singapore : Springer, 2021.
- System Details:
- text file
- 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.
- 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.
- Notes:
- Includes index.
- Online resource; title from PDF title page (SpringerLink, viewed September 2, 2021).
- ISBN:
- 9789811629402
- 9811629404
- OCLC:
- 1266386365
- Access Restriction:
- Restricted for use by site license.
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