A Dual-Attentive Multimodal Fusion Method for Fault Diagnosis Under Varying Working Conditions

A Dual-Attentive Multimodal Fusion Method for Fault Diagnosis Under Varying Working Conditions

Deep learning-based fault diagnosis methods have gained extensive attention in recent years due to their outstanding performance. The model input can take the form of multiple domains, such as the time domain, frequency domain, and time–frequency domain, with commonalities and differences between th...

Full description

Saved in:
Bibliographic Details
Main Authors: Yan Chu, Leqi Zhu, Mingfeng Lu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Mathematics
Subjects:
fault diagnosis
deep learning
convolutional neural network
dilation convolution
attention mechanism
multimodal feature fusion
Online Access:https://www.mdpi.com/2227-7390/13/11/1868
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items