A Lightweight Fault Diagnosis Framework for Hydro-Turbine Main Shaft Bearing Under Noise Interference

A Lightweight Fault Diagnosis Framework for Hydro-Turbine Main Shaft Bearing Under Noise Interference

As a critical component of hydro-generating units, the main shaft bearing of a hydro-turbine is essential for ensuring the safety and stability of the unit. However, in industrial environments, operational noise often interferes with fault diagnosis accuracy for main shaft bearings. Thus, this paper...

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Bibliographic Details
Main Authors: Hongwei Zhang, Zhao Liu, Hansong Si, Kaipeng Yu, Shuaifang Li, Zhenwu Yan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Attention mechanism
convolutional neural network
deep learning
fault diagnosis
hydro-turbine
hydro-generating unit
Online Access:https://ieeexplore.ieee.org/document/11030619/
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