Fault Diagnosis of Heavy-Loaded AGV Based on Digital Mirror

Fault Diagnosis of Heavy-Loaded AGV Based on Digital Mirror

Automated guided vehicles (AGVs) have emerged as crucial machinery in enterprise production and transportation as intelligent factories have gained traction. This study proposes a multi-source data enhancement fusion convolutional neural network (ME-CNN) approach for the mechanical fault diagnosis o...

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Bibliographic Details
Main Authors: Yiwen Zhang, Yan Gao, Xinming Zhang, Linsen Song, Baoyan Zhao, Jingru Liu, Longkai Liang, Jing Jiao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Intelligent manufacturing
heavy-loaded AGV
machine learning
digital mirroring
Online Access:https://ieeexplore.ieee.org/document/10741516/
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https://ieeexplore.ieee.org/document/10741516/

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