Hybrid Gaussian process regression and Fuzzy Inference System based approach for condition monitoring at the rotor side of a doubly fed induction generator-Reference-Cited by-同舟云学术

Hybrid Gaussian process regression and Fuzzy Inference System based approach for condition monitoring at the rotor side of a doubly fed induction generator

Published:2022-10 Issue: Volume:198 Page:936-946
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Zhang Shuo,Robinson Emma,Basu Malabika

Funder

Sustainable Energy Authority of Ireland

Ministerio del Ambiente, Agua y Transición Ecológica

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference37 articles.

1. Global growth in offshore wind turbine technology, Clean Technol;Bilgili;Environ. Pol.,2022

2. On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines;Dao;Appl. Energy,2022

3. A comprehensive review on signal-based and model-based condition monitoring of wind turbines: fault Diagnosis and lifetime prognosis;Badihi;Proc. IEEE,2022

4. Review on monitoring, operation and maintenance of smart offshore wind farms;Kou;Sensors,2022

5. Condition-based maintenance for offshore wind turbines based on support vector machine;Kang;Energies,2020

Cited by 7 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. On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model;Renewable Energy;2024-05

2. Analysis and investigation of synchronous machine rotor winding short-circuit fault in a distribution system;Microsystem Technologies;2024-04-18

3. A Fuzzy Logic Approach to Estimates Fish Productivity at Pekalongan Fishing Port, Indonesia;Thalassas: An International Journal of Marine Sciences;2024-04-12

4. Diagnosis and location of inter-turn short circuit fault in pumped storage unit;Renewable Energy;2024-03

5. Wind Turbine Predictive Fault Diagnostics Based on a Novel Long Short-Term Memory Model;Algorithms;2023-11-28