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Artificial intelligence for fault diagnosis of rotating machinery: A review

Ruonan Liu Boyuan Yang Enrico Zio 1, 2, 3 Xuefeng Chen 
1 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
2 LGI - Laboratoire Génie Industriel - EA 2606
3 CentraleSupélec
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01786576
Contributor : Zhiguo Zeng Connect in order to contact the contributor
Submitted on : Saturday, May 5, 2018 - 10:29:20 PM
Last modification on : Sunday, June 26, 2022 - 2:27:04 AM

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LGI | SUP_CHAIRE-SSEC | CENTRALESUPELEC | LGI-SR | UNIV-PARIS-SACLAY | EDF | GS-ENGINEERING

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Ruonan Liu, Boyuan Yang, Enrico Zio, Xuefeng Chen. Artificial intelligence for fault diagnosis of rotating machinery: A review. Mechanical Systems and Signal Processing, Elsevier, 2018, 108, pp.33 - 47. ⟨10.1016/j.ymssp.2018.02.016⟩. ⟨hal-01786576⟩

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