Automated Identification of Failures in Doubly-Fed Induction Generators for Wind Turbine Applications
Author:
Affiliation:
1. Department of Electrical Engineering, Korea University, Seongbuk-gu, Korea
2. General Electric Aerospace, Munich, Germany
Funder
National Research Foundation of Korea
Korea Government, MSIT
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/28/10185984/10073600.pdf?arnumber=10073600
Reference34 articles.
1. Reliable Detection of Rotor Winding Asymmetries in Wound Rotor Induction Motors via Integral Current Analysis
2. Condition Cleaning Maintenance Technology of Carbon Brush Slip Ring in Pumped Storage Power Units
3. Automated Detection of Failures in Doubly-Fed Induction Generators for Wind Turbine Applications
4. Detection of rotor electrical asymmetry in wind turbine doubly‐fed induction generators
5. Comparison of rotor electrical fault indices owing to inter‐turn short circuit and unbalanced resistance in doubly‐fed induction generator
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Resistance Imbalance Fault Diagnosis in Rotor Wingdings of DIFG Considering Current Closed-Loop Effect;Lecture Notes in Electrical Engineering;2024
2. High-Resistance Connection Diagnosis of Doubly Fed Induction Generators;Energies;2023-11-09
3. Inverter-embedded DFIG Rotor Winding Insulation Testing for Wind Energy Applications;2023 IEEE Energy Conversion Congress and Exposition (ECCE);2023-10-29
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