Wind Turbine Condition Monitoring Based on Improved Active Learning Strategy and KNN Algorithm
Author:
Affiliation:
1. State Grid Gansu Electric Power Company, Lanzhou, China
2. State Grid Lanzhou Electric Power Supply Company, Lanzhou, China
Funder
State Grid Gansu Power Company, in 2022
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10041157.pdf?arnumber=10041157
Reference29 articles.
1. A Comparative Study of Three Fault Diagnosis Schemes for Wind Turbines
2. A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part II: Signals and Signal Processing Methods
3. Condition monitoring of wind turbine based on incremental learning and multivariate state estimation technique
4. Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review
5. Fault Diagnosis of Industrial Wind Turbine Blade Bearing Using Acoustic Emission Analysis
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