Wind Turbine Fault Detection and Estimation Based On Nonlinear Observer-Reference-Cited by-同舟云学术

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Wind Turbine Fault Detection and Estimation Based On Nonlinear Observer

Published:2024-01 Issue:1 Volume:60 Page:1497-1507
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Zaid Ichrak Eben¹^ORCID,Boussada Moez¹^ORCID,Nouri Ahmed Said²^ORCID

Affiliation:

1. CONPRI, National School of Engineers of Gabes, Gabes, Tunisia

2. CONPRI, National School of Engineers of Sfax, Sfax, Tunisia

Funder

Ministry of Higher Education and Scientific Research-Tunisia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/10410107/10269008.pdf?arnumber=10269008

Reference25 articles.

1. Wind turbine fault diagnosis based on Gaussian process classifiers applied to operational data

2. Performance and Reliability of Wind Turbines: A Review

3. Condition monitoring of wind turbines: Techniques and methods

4. Machine Learning on Fault Diagnosis in Wind Turbines

5. An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition

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