An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning-Reference-Cited by-同舟云学术

An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning

Published:2023 Issue: Volume:72 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Ziqi¹^ORCID,Jin Xiaohang²^ORCID,Xu Zhengguo¹^ORCID

Affiliation:

1. College of Control Science and Engineering, Zhejiang University, Hangzhou, China

2. College of Mechanical Engineering and the Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education and Zhejiang Province, Zhejiang University of Technology, Hangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China

Ningbo Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10093940.pdf?arnumber=10093940

Reference31 articles.

1. Adaptive Knowledge Transfer by Continual Weighted Updating of Filter Kernels for Few-Shot Fault Diagnosis of Machines

2. Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra–Supercritical Thermal Power Plant

3. Modular Dynamic Neural Network: A Continual Learning Architecture

4. IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection

5. Enhanced DQN Framework for Selecting Actions and Updating Replay Memory Considering Massive Non-Executable Actions

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