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A Robust Transform-Domain Deep Convolutional Network for Voltage Dip Classification
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A Robust Transform-Domain Deep Convolutional Network for Voltage Dip Classification

Bagheri, Azam ; Gu, Irene Y. H. ; Bollen, Math H. J. ; Balouji, Ebrahim

IEEE transactions on power delivery, 2018-12, Vol.33 (6), p.2794-2802 [Periódico revisado por pares]

New York: IEEE

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On waveform distortion in the frequency range of 2 kHz–150 kHz—Review and research challenges
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On waveform distortion in the frequency range of 2 kHz–150 kHz—Review and research challenges

Rönnberg, Sarah K. ; Bollen, Math H.J. ; Amaris, Hortensia ; Chang, Gary W. ; Gu, Irene Y.H. ; Kocewiak, Łukasz H. ; Meyer, Jan ; Olofsson, Magnus ; Ribeiro, Paulo F. ; Desmet, Jan

Electric power systems research, 2017-09, Vol.150, p.1-10 [Periódico revisado por pares]

Amsterdam: Elsevier Science Ltd

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3
Improved characterization of multi-stage voltage dips based on the space phasor model
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Improved characterization of multi-stage voltage dips based on the space phasor model

Bagheri, Azam ; Bollen, Math H.J. ; Gu, Irene Y.H.

Electric power systems research, 2018-01, Vol.154, p.319-328 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
Unsupervised deep learning and analysis of harmonic variation patterns using big data from multiple locations
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Unsupervised deep learning and analysis of harmonic variation patterns using big data from multiple locations

Ge, Chenjie ; Oliveira, Roger A.D. ; Gu, Irene Y.H. ; Bollen, Math H.J.

Electric power systems research, 2021-05, Vol.194, p.107042, Article 107042 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction
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Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction

Fu, Keren ; Gu, Irene Y.H. ; Gong, Chen ; Yang, Jie

Neurocomputing (Amsterdam), 2016-01, Vol.175 (Part A), p.336-347 [Periódico revisado por pares]

Elsevier B.V

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6
A Framework Based on Machine Learning for Analytics of Voltage Quality Disturbances
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A Framework Based on Machine Learning for Analytics of Voltage Quality Disturbances

Bagheri, Azam ; de Oliveira, Roger Alves ; Bollen, Math H. J. ; Gu, Irene Y. H.

Energies (Basel), 2022-02, Vol.15 (4), p.1283 [Periódico revisado por pares]

Basel: MDPI AG

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7
On waveform distortion in the frequency range of 2kHz–150kHz—Review and research challenges
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Artigo
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On waveform distortion in the frequency range of 2kHz–150kHz—Review and research challenges

Rönnberg, Sarah K. ; Bollen, Math H.J. ; Amaris, Hortensia ; Chang, Gary W. ; Gu, Irene Y.H. ; Kocewiak, Łukasz H. ; Meyer, Jan ; Olofsson, Magnus ; Ribeiro, Paulo F. ; Desmet, Jan

Electric power systems research, 2017-09, Vol.150, p.1-10 [Periódico revisado por pares]

Elsevier B.V

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8
Optimal Experiment Design for Mono-Exponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging
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Optimal Experiment Design for Mono-Exponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging

Alipoor, Mohammad ; Maier, Stephan E ; Gu, Irene Y.H. ; Mehnert, Andrew ; Kahl, Fredrik

BioMed research international, 2015, Vol.2015, p.Article nr 138060 [Periódico revisado por pares]

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9
Classification of Underlying Causes of Power Quality Disturbances: Deterministic versus Statistical Methods
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Classification of Underlying Causes of Power Quality Disturbances: Deterministic versus Statistical Methods

Bollen, Math H.J. ; Gu, Irene Y.H. ; Axelberg, Peter G.V. ; Styvaktakis, Emmanouil

EURASIP journal on advances in signal processing, 2007-01, Vol.2007 (1), p.17, Article 079747 [Periódico revisado por pares]

SpringerOpen

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10
Novel Segmentation Technique for Measured Three-Phase Voltage Dips
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Novel Segmentation Technique for Measured Three-Phase Voltage Dips

Moreno-Garcia, Isabel M ; Moreno-Munoz, Antonio ; Gil-de-Castro, Aurora ; Bollen, Math ; Gu, Irene Y H

Energies (Basel), 2015-08, Vol.8 (8), p.8319-8338 [Periódico revisado por pares]

Basel: MDPI AG

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