Rolling element bearing fault diagnosis based on modified Pufferfish optimization assisted efficient customized convolutional neural network with IMI-EMD

Abstract Deep learning (DL) models have become a powerful alternative that learns the relevant features automatically from raw vibration signals without extensive manual intervention. This research addresses the existing gap in fault diagnosis by introducing a novel methodology through an efficient...

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Bibliografiske detaljer

Principais autores:	Pandiyan M., Narendiranath Babu T.
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2026-04-01
Serier:	Scientific Reports
Fag:	Rolling element bearing Fault diagnosis IMI-EMD Efficient CCNN And MPOA
Online adgang:	https://doi.org/10.1038/s41598-026-50930-3
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