Multi-Source Domain Adaptation Method of Mill Load Based on Common and Special Characteristics-Reference-Cited by-同舟云学术

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Multi-Source Domain Adaptation Method of Mill Load Based on Common and Special Characteristics

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Liu Yiwen¹,Yan Gaowei¹,Li Rong¹,Pang Yusong²,Qiao Tiezhu³

Affiliation:

1. School of Electrical and Power Engineering, Taiyuan University of Technology,Taiyuan,030024

2. Delft University of Technology,Section of Transport Engineering and Logistics,Netherlands

3. School of Physics and Optoelectronics, Taiyuan University of Technology,Taiyuan,030024

Funder

National Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240161.pdf?arnumber=10240161

Reference24 articles.

1. Soft measurement of ball mill load under variable working conditions based on deep transfer learning

2. Intelligent Fault Diagnosis With Deep Adversarial Domain Adaptation

3. Soft sensor for ball mill load using DAMRRWNN model;he;ACTA Automatica Sinica,2019

4. A multi-target domain adaptive method for intelligent transfer fault diagnosis

5. Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

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