Artificial intelligence for fault diagnosis of rotating machinery: A review

Ruonan Liu; Boyuan Yang; Enrico Zio; Xuefeng Chen

doi:10.1016/j.ymssp.2018.02.016

Journal Articles Mechanical Systems and Signal Processing Year : 2018

Artificial intelligence for fault diagnosis of rotating machinery: A review

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Ruonan Liu

Function : Author

Boyuan Yang

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Enrico Zio

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PersonId : 7318
IdHAL : enrico-zio
ORCID : 0000-0002-7108-637X
IdRef : 11103096X

Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec

Laboratoire Génie Industriel - EA 2606

CentraleSupélec

CV

Xuefeng Chen

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Submitted on : Saturday, May 5, 2018-10:29:20 PM

Last modification on : Thursday, March 9, 2023-10:30:16 AM

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hal-01786576 , version 1 (05-05-2018)

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HAL Id : hal-01786576 , version 1
DOI : 10.1016/j.ymssp.2018.02.016

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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, 2018, 108, pp.33 - 47. ⟨10.1016/j.ymssp.2018.02.016⟩. ⟨hal-01786576⟩

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Artificial intelligence for fault diagnosis of rotating machinery: A review

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