Support Vector Machine Classification of Current Data for Fault Diagnosis and Similarity-Based Approach for Failure Prognosis in Wind Turbine Systems-Reference-Cited by-同舟云学术

Support Vector Machine Classification of Current Data for Fault Diagnosis and Similarity-Based Approach for Failure Prognosis in Wind Turbine Systems

Published:2020 Issue: Volume: Page:157-182
ISSN:
Container-title:Artificial Intelligence Techniques for a Scalable Energy Transition
language:
Short-container-title:

Author:

Benmoussa Samir,Djeziri Mohand Arab,Sanchez Roberto

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-42726-9_7

Reference35 articles.

1. Y. Amirat, V. Choqueuse, M. Benbouzid, Wind turbines condition monitoring and fault diagnosis using generator current amplitude demodulation, in IEEE International Energy Conference and Exhibition, pp. 310–315 (2010)

2. S. Canu, Y. Grandvalet, V. Guigue, A. Rakotomamonjy, SVM and kernel methods matlab toolbox, in Perception Systemes et Information ( INSA de Rouen, Rouen, 2005)

3. B. Chen, P. Matthews, P. Tavner, Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS. Expert Syst. Appl. 40(17), 6863–6876 (2013)

4. B. Chen, P. Matthews, P. Tavner, Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition. IET Renew. Power Gener. 9(5), 503–513 (2015)

5. J. Chen, J. Pan, Z. Li, Y. Zi, X. Chen, Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals. Renew. Energy 89, 80–92 (2016)

Cited by 6 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. Remaining useful life prediction based on a PCA and similarity methods;Measurement Science and Technology;2023-12-20

2. On fault diagnosis using image-based deep learning networks based on vibration signals;Multimedia Tools and Applications;2023-10-18

3. Automatic and Generic Prognosis Method Based on Data Trend Analysis and Neural Network;Processes;2022-05-19

4. New Approach for Failure Prognosis Using a Bond Graph, Gaussian Mixture Model and Similarity Techniques;Processes;2022-02-22

5. A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture;Applied Intelligence;2021-08-31