Bearing fault diagnosis based on enhanced Canberra distance feature in SDP image

Abstract Feature enhancement is important in mechanical equipment fault diagnosis. A limited set of characteristic parameters is insufficient for diagnosing bearing signals with multiple fault types. The presence of noise increases the difficulty of extracting fault features from images. To address...

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Principais autores:	Jigang Peng, Wei Wang, Yongjian Sun
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2024-10-01
Serija:	Journal of Engineering and Applied Science
Teme:	Rolling bearing Symmetrized dot pattern Variational mode decomposition Canberra distance Improved weighted average Fault diagnosis
Online dostop:	https://doi.org/10.1186/s44147-024-00535-2
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