Improved Ensemble Approach for Fault Diagnosis of Wind Energy Conversion Systems-Reference-Cited by-同舟云学术

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Improved Ensemble Approach for Fault Diagnosis of Wind Energy Conversion Systems

Published:2022-05-17 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
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Author:

Dhibi Khaled¹,Mansouri Majdi²,Bouzrara Kais¹,Nounou Hazem²,Nounou Mohamed³

Affiliation:

1. National Engineering School of Monastir,Research Laboratory of Automation, Signal Processing and Image,Tunisia,5019

2. Texas A&M University at Qatar,Department of Electrical and Computer Engineering Program,Doha,Qatar,23874

3. Texas A&M University at Qatar,Department of Chemical Engineering Program,Doha,Qatar,23874

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9803856/9803880/09803918.pdf?arnumber=9803918

Reference35 articles.

1. Hidden Markov model based principal component analysis for intelligent fault diagnosis of wind energy converter systems

2. Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm

3. Methods of hierarchical clustering;murtagh;ar Xiv preprint,2011

4. Algorithms for hierarchical clustering: an overview

5. Lifetime investi-gation of high power igbt modules;due;Proceedings of the 2011 14th European Conference on Power Electronics and Applications,0

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