A Multi-Information Fusion Algorithm to Fault Diagnosis of Power Converter in Wind Power Generation Systems
Author:
Affiliation:
1. School of Astronautics, Northwestern Polytechnical University, Xi'an, China
2. Advanced Power and Energy Center, Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates
Funder
National Natural Science Foundation of China
Shaanxi Province Key Research and Development Plan
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10411967/10110917.pdf?arnumber=10110917
Reference31 articles.
1. Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method
2. A Spatio-Temporal Multiscale Neural Network Approach for Wind Turbine Fault Diagnosis With Imbalanced SCADA Data
3. Wind turbine reliability: A comprehensive review towards effective condition monitoring development
4. Levelised cost of energy, A challenge for offshore wind
5. A novel fault diagnostic method in power converters for wind power generation system
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