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A machine learning-based approach for detection of whirl instability and overheating faults in journal bearings using multi-sensor fusion method

Published Online: 2023-02-20

Published Print: 2023-03

Authors

Golmohammadi, A.

Safizadeh, M. S. https://orcid.org/0000-0002-3953-2747
License Information

Text and Data Mining valid from 2023-02-20

Version of Record valid from 2023-02-20
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Article History

Received: 12 April 2021

Accepted: 23 January 2023

First Online: 20 February 2023

Declarations

:

: The authors declares that there is no conflict of interest regarding the publication of this paper.

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