Research on a Fault Diagnosis Method of an A-Class Thermal Insulation Panel Production Line Based on Multi-Sensor Data Fusion

Research on a Fault Diagnosis Method of an A-Class Thermal Insulation Panel Production Line Based on Multi-Sensor Data Fusion

To detect the running state of an A-class thermal insulation board production line in real time, conveniently and accurately, a fault diagnosis method based on multi-sensor data fusion was proposed. The proposed algorithm integrates the ideas of Convolutional Neural Network (CNN), Long Short-Term Me...

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Bibliographic Details
Main Authors: Yong Wang, Xiaoqiang Guo, Xinhua Liu, Xiaowen Liu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
A-class thermal insulation panel production line
fault diagnosis
deep learning
long short-term memory
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/12/19/9642

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