Digital Twin for rotating machinery fault diagnosis in smart manufacturing

Wang, Jinjiang; Ye, Lunkuan; Gao, Robert X.; Li, Chen; Zhang, Laibin

doi:10.1080/00207543.2018.1552032

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Digital Twin for rotating machinery fault diagnosis in smart manufacturing

Author(s): Jinjiang Wang ¹ , Lunkuan Ye ¹ , Robert X. Gao ² , Chen Li ¹ , Laibin Zhang ¹

Publication date Created: November 27 2018

Publication date (Electronic): December 06 2018

Journal: International Journal of Production Research

Publisher: Informa UK Limited

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Most cited references 39

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A review on machinery diagnostics and prognostics implementing condition-based maintenance

Andrew Jardine, Daming Lin, Dragan Banjevic (2006)

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Digital twin-driven product design, manufacturing and service with big data

Fei Tao, Jiangfeng Cheng, Qinglin Qi … (2018)

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Deep learning for smart manufacturing: Methods and applications

Jinjiang Wang, Yulin Ma, Laibin Zhang … (2018)

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Author and article information

Journal

Title: International Journal of Production Research

Abbreviated Title: International Journal of Production Research

Publisher: Informa UK Limited

ISSN (Print): 0020-7543

ISSN (Electronic): 1366-588X

Publication date Created: November 27 2018

Publication date Created: June 18 2019

Publication date (Electronic): December 06 2018

Publication date (Print): June 18 2019

Volume: 57

Issue: 12

Pages: 3920-3934

Affiliations

[1 ]School of Mechanical and Transportation Engineering, China University of Petroleum, Beijing 102249, People’s Republic of China

[2 ]Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, OH 44106, USA

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DOI: 10.1080/00207543.2018.1552032

SO-VID: 273e4777-99e5-4319-b219-b5b974f80281

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Digital Twin for rotating machinery fault diagnosis in smart manufacturing

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International Journal of Medicine and Medical Research

Most cited references 39

A review on machinery diagnostics and prognostics implementing condition-based maintenance

Digital twin-driven product design, manufacturing and service with big data

Deep learning for smart manufacturing: Methods and applications

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