Fault Identification in Doubly fed Induction Generator using FFT and Neural Networks

Intelligent Data Engineering and Automated Learning - IDEAL 2012 - Lecture Notes in Computer Science ◽

Fault Identification in Doubly Fed Induction Generator Using FFT and Neural Networks

10.1007/978-3-642-32639-4_83 ◽

2012 ◽

pp. 699-706

Author(s):

Marcelo Patrício de Santana ◽

José Roberto Boffino de Almeida Monteiro ◽

Geyverson Teixeira de Paula ◽

Thales Eugenio Portes de Almeida ◽

Gustavo Bueno Romero ◽

...

Keyword(s):

Neural Networks ◽

Induction Generator ◽

Fault Identification ◽

Efficient Operation of Wind Turbine with Doubly Fed Induction Generator Using TLBO Algorithm and Artificial Neural Networks

International Review on Modelling and Simulations (IREMOS) ◽

10.15866/iremos.v9i6.10309 ◽

2016 ◽

Vol 9 (6) ◽

pp. 464 ◽

Cited By ~ 1

Author(s):

Mohamed Sadek ◽

Mahmoud Elkholy ◽

Hamed Metwally

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Wind Turbine ◽

Induction Generator ◽

Efficient Operation ◽

Tlbo Algorithm ◽

Artificial Neural ◽

2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM) ◽

Field Oriented Control of Doubly Fed Induction Generator Integrated in Wind Energy Conversion System using Artificial Neural Networks

10.1109/cistem.2018.8613558 ◽

2018 ◽

Author(s):

Zeghdi Zoubir ◽

Barazane Linda ◽

Larabi Abdelkader

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Induction Generator ◽

Field Oriented Control ◽

Wind Energy Conversion System ◽

Wind Energy Conversion ◽

Conversion System ◽

Energy Conversion System ◽

Real-time sliding mode control with neural networks for a doubly fed induction generator

52nd IEEE Conference on Decision and Control ◽

10.1109/cdc.2013.6760964 ◽

2013 ◽

Cited By ~ 5

Author(s):

R. Ruiz-Cruz ◽

E. N. Sanchez ◽

A. G. Loukianov

Keyword(s):

Neural Networks ◽

Sliding Mode Control ◽

Real Time ◽

Sliding Mode ◽

Induction Generator ◽

Mode Control ◽

Adaptive PI Controllers for Doubly Fed Induction Generator using B-spline Artificial Neural Networks

International Journal of Computer Applications ◽

10.5120/13956-1949 ◽

2013 ◽

Vol 80 (16) ◽

pp. 37-42 ◽

Cited By ~ 3

Author(s):

Rubén Tapia-O. ◽

Omar Aguilar M. ◽

Abel García-B. ◽

Omar J. Santos-S.

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Induction Generator ◽

B Spline ◽

Pi Controllers ◽

Artificial Neural ◽

Neural networks based power flow control of the doubly fed induction generator

2009 International Conference on Power Engineering, Energy and Electrical Drives ◽

10.1109/powereng.2009.4915181 ◽

2009 ◽

Cited By ~ 3

Author(s):

Orlando Soares ◽

Henrique Goncalves ◽

Antonio Martins ◽

Adriano Carvalho

Keyword(s):

Neural Networks ◽

Flow Control ◽

Power Flow ◽

Induction Generator ◽

Power Flow Control ◽

Improving the performance of grid‐connected doubly fed induction generator by fault identification and diagnosis: A kernel PCA‐ESMO technique

International Transactions on Electrical Energy Systems ◽

10.1002/2050-7038.12844 ◽

2021 ◽

Author(s):

Samuel Raj Daison Stallon ◽

Manokaran Newlin Rajkumar

Keyword(s):

Induction Generator ◽

Fault Identification ◽

Kernel Pca ◽

Nonlinear power control of doubly fed induction generator wind turbines using neural networks

2016 IEEE 25th International Symposium on Industrial Electronics (ISIE) ◽

10.1109/isie.2016.7744951 ◽

2016 ◽

Cited By ~ 2

Author(s):

Hicham Chaoui ◽

Okezie Okoye

Keyword(s):

Neural Networks ◽

Power Control ◽

Wind Turbines ◽

Induction Generator ◽

Data‐driven modelling of a doubly fed induction generator wind turbine system based on neural networks

IET Renewable Power Generation ◽

10.1049/iet-rpg.2013.0391 ◽

2014 ◽

Vol 8 (8) ◽

pp. 849-857 ◽

Cited By ~ 20

Author(s):

Xiaobing Kong ◽

Xiangjie Liu ◽

Kwang Y. Lee

Keyword(s):

Neural Networks ◽

Wind Turbine ◽

Data Driven ◽

Induction Generator ◽

Wind Turbine System ◽

Command of a Doubly-Fed Induction Generator with a Backstepping Controller for a Wind Turbine Application

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v10i1.10829 ◽

2017 ◽

Vol 10 (1) ◽

pp. 56 ◽

Cited By ~ 2

Author(s):

Zakaria Sabiri ◽

Nadia Machkour ◽

Nabila Rabbah ◽

Mohammed Nahid ◽

Elm'kaddem Kheddioui

Keyword(s):

Wind Turbine ◽

Induction Generator ◽

Backstepping Controller ◽