Advanced sensor-based maintenance in real-world exemplary cases-Reference-Cited by-同舟云学术

Advanced sensor-based maintenance in real-world exemplary cases

Published:2020-07-21 Issue:4 Volume:61 Page:537-553
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Albano Michele¹^ORCID,Lino Ferreira Luis²,Di Orio Giovanni³^ORCID,Maló Pedro³^ORCID,Webers Godfried⁴,Jantunen Erkki⁵,Gabilondo Iosu⁶,Viguera Mikel⁷,Papa Gregor⁸^ORCID

Affiliation:

1. Department of Computer Science, Aalborg University, Aalborg, Denmark

2. CISTER, ISEP, Polytechnic Institute of Porto, Porto, Portugal

3. UNINOVA / NOVA School of Science and Technology (FCT NOVA), Lisboa, Portugal

4. Philips Healthcare, Amsterdam, Netherlands

5. VTT Technical Research Centre of Finland, Espoo, Finland

6. Ikerlan, Arrasate-Mondragón, Spain

7. Koniker, Arrasate-Mondragón, Spain

8. Jožef Stefan Institute, Ljubljana, Slovenia

Funder

FCT/MEC

Slovenian Research Agency

ERDF

ECSEL JU

EU ECSEL JU

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2020.1794192

Reference58 articles.

1. Schwab Klaus. 2017. ‘The fourth industrial revolution’, 2017, Crown Business, New York.

2. Productive 4.0 – A European co-funded innovation and lighthouse project on Digital Industry. Available from: https://productive40.eu/.

3. A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis

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