Intelligent Fault Diagnosis of Hydraulic System Based on Multiscale One-Dimensional Convolutional Neural Networks with Multiattention Mechanism

Intelligent Fault Diagnosis of Hydraulic System Based on Multiscale One-Dimensional Convolutional Neural Networks with Multiattention Mechanism

Hydraulic systems are critical components of mechanical equipment, and effective fault diagnosis is essential for minimizing maintenance costs and enhancing system reliability. In practical applications, data from hydraulic systems are collected with varying sampling frequencies, coupled with comple...

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Bibliographic Details
Main Authors:	Jiacheng Sun, Hua Ding, Ning Li, Xiaochun Sun, Xiaoxin Dong
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Sensors
Subjects:	channel attention mechanism convolutional neural network fault diagnosis hydraulic system multirate data samples
Online Access:	https://www.mdpi.com/1424-8220/24/22/7267
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