Data-driven fault detection and isolation scheme for a wind turbine benchmark-Reference-Cited by-同舟云学术

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Data-driven fault detection and isolation scheme for a wind turbine benchmark

Published:2016-03 Issue: Volume:87 Page:634-645
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

de Bessa Iury Valente,Palhares Reinaldo Martinez^ORCID,D'Angelo Marcos Flávio Silveira Vasconcelos,Chaves Filho João Edgar

Funder

Fundação de Amparo à Pesquisa do Estado do Amazonas

Brazilian National Research Council

Research Foundation of the State of Minas Gerais

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference31 articles.

1. Time-frequency analysis based on vold-kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions;Feng;Renew. Energy,2016

2. Fault diagnosis of wind turbine planetary gearbox under nonstationary conditions via adaptive optimal kernel time-frequency analysis;Feng;Renew. Energy,2014

3. Dynamic response analysis on torsional vibrations of wind turbine geared transmission system with uncertainty;Wei;Renew. Energy,2015

4. Condition monitoring and fault detection of wind turbines and related algorithms: a review;Hameed;Renew. Sustain. Energy Rev.,2009

5. Observer based detection of sensor faults in wind turbines;Odgaard,2009

Cited by 55 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. Research on Wind Turbine Fault Detection Based on CNN-LSTM;Energies;2024-09-07

2. Fault detection and isolation in system of multiple sources of energy using hierarchical Bayesian belief networks;Electrical Engineering;2024-05-24

3. A New Fault Classification Approach Based on Decision Tree Induced by Genetic Programming;Processes;2024-04-18

4. Sensor Fault Detection in Wind Turbines Using Machine Learning and Statistical Monitoring Chart;2023 Prognostics and Health Management Conference (PHM);2023-05

5. Data-driven fault detection of a 10 MW floating offshore wind turbine benchmark using kernel canonical variate analysis;Measurement Science and Technology;2022-12-05

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