A new fault diagnosis approach for the pitch system of wind turbines
Author:
Affiliation:
1. Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi, China
Funder
National Natural Science Foundation of China
Publisher
SAGE Publications
Subject
Mechanical Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/1687814017703350
Reference29 articles.
1. Fault Diagnosis and Fault-Tolerant Control of Wind Turbines via a Discrete Time Controller with a Disturbance Compensator
2. Gain scheduling control of variable-speed wind energy conversion systems using quasi-LPV models
3. Closed-loop identification of the time-varying dynamics of variable-speed wind turbines
4. LPV control for a wafer stage: beyond the theoretical solution
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1. On the effects of pitch system faults on a wind turbine;Results in Engineering;2024-06
2. A review of fault diagnosis and prediction methods for wind turbine pitch systems;International Journal of Green Energy;2023-09-04
3. A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis;Proceedings of the IEEE;2022-06
4. Kernel PCA based BiLSTM for Fault Detection and Diagnosis for Wind Energy Converter Systems;2022 8th International Conference on Control, Decision and Information Technologies (CoDIT);2022-05-17
5. A Sensor Data Processing Algorithm for Wind Turbine Hydraulic Pitch System Diagnosis;Energies;2021-12-21
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