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Predictive maintenance in smart fact...

Cerquitelli, Tania.

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Predictive maintenance in smart factories = architectures, methodologies, and use-cases /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Predictive maintenance in smart factories/ edited by Tania Cerquitelli ... [et al.].
其他題名:	architectures, methodologies, and use-cases /
其他作者:	Cerquitelli, Tania.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xiv, 234 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Plant maintenance - Technological innovations. -
電子資源:	https://doi.org/10.1007/978-981-16-2940-2
ISBN:	9789811629402

Predictive maintenance in smart factories = architectures, methodologies, and use-cases /
Predictive maintenance in smart factoriesarchitectures, methodologies, and use-cases /[electronic resource] :edited by Tania Cerquitelli ... [et al.]. - Singapore :Springer Singapore :2021. - xiv, 234 p. :ill. (some col.), digital ;24 cm. - Information fusion and data science,2510-1536. - Information fusion and data science..

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.

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.

ISBN: 9789811629402

Standard No.: 10.1007/978-981-16-2940-2doiSubjects--Topical Terms:

3514888
Plant maintenance
--Technological innovations.

LC Class. No.: TS192 / .P74 2021

Dewey Class. No.: 658.202

Predictive maintenance in smart factories = architectures, methodologies, and use-cases /
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