Working Condition Recognition Based on Transfer Learning and Attention Mechanism for a Rotary Kiln

Working Condition Recognition Based on Transfer Learning and Attention Mechanism for a Rotary Kiln

It is difficult to identify the working conditions of the rotary kilns due to the harsh environment in the kilns. The flame images of the firing zone in the kilns contain a lot of working condition information, but the flame image data sample size is too small to be used to fully extract the key fea...

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Bibliographic Details
Main Authors: Yuchao Hu, Weihua Zheng, Xin Wang, Bin Qin
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Entropy
Subjects:
rotary kiln
flame image
working condition recognition
deep learning
transfer learning
coordinate attention mechanism
Online Access:https://www.mdpi.com/1099-4300/24/9/1186

Internet

https://www.mdpi.com/1099-4300/24/9/1186

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