Kronecker convolutional feature pyramid for fault diagnosis in rolling bearings

Kronecker convolutional feature pyramid for fault diagnosis in rolling bearings

Abstract Rolling bearings play a significant role in rotating machinery. Due to the failure of these components, the operations of the whole machinery are compromised and get out of service, which ultimately causes significant workload overhead and monetary loss. Many techniques are proposed for the...

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Bibliographic Details
Main Authors: Sadia Batool, Abbas Ali Abid, Muhammad Asif, Sagheer Abbas, Khan Muhammad Adnan, Asghar Ali Shah, Taher M. Ghazal
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Rolling bearing diagnosis
Deep learning
Feature pyramid
3D convolution
Industrial fault detection
Kronecker operation
Online Access:https://doi.org/10.1038/s41598-025-08339-x
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https://doi.org/10.1038/s41598-025-08339-x

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