An incipient fault diagnosis methodology using local Mahalanobis distance: Fault isolation and fault severity estimation

Junjie Yang; Claude Delpha

doi:10.1016/j.sigpro.2022.108657

Journal Articles Signal Processing Year : 2022

An incipient fault diagnosis methodology using local Mahalanobis distance: Fault isolation and fault severity estimation

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Junjie Yang

Function : Author
PersonId : 183055
IdHAL : junjie-yang
ORCID : 0000-0001-6203-6883

Claude Delpha

Function : Author
PersonId : 183254
IdHAL : claude-delpha
ORCID : 0000-0003-3224-8628
IdRef : 151348480

Laboratoire des signaux et systèmes

CV

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Engineering Sciences [physics] Signal and Image processing

Claude Delpha : Connect in order to contact the contributor

https://hal-centralesupelec.archives-ouvertes.fr/hal-03696213

Submitted on : Wednesday, June 15, 2022-5:19:40 PM

Last modification on : Friday, March 24, 2023-2:53:27 PM

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hal-03696213 , version 1 (15-06-2022)

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HAL Id : hal-03696213 , version 1
DOI : 10.1016/j.sigpro.2022.108657

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Junjie Yang, Claude Delpha. An incipient fault diagnosis methodology using local Mahalanobis distance: Fault isolation and fault severity estimation. Signal Processing, 2022, pp.108657. ⟨10.1016/j.sigpro.2022.108657⟩. ⟨hal-03696213⟩

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An incipient fault diagnosis methodology using local Mahalanobis distance: Fault isolation and fault severity estimation

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