Classification of Multiple Power Quality Disturbances by Tunable-Q Wavelet Transform with Parameter Selection

Identifying power quality (PQ) disturbances is an important prerequisite for developing mitigation measures to improve PQ. However, the coupling of multiple PQ disturbances in the noise condition makes it difficult to achieve effective feature extraction and classification. This article proposes a n...

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Bibliographic Details
Main Authors: Lin Yang, Linming Guo, Wenhai Zhang, Xiaomei Yang
Format: Artigo
Language:Inglês
Published: MDPI AG 2022-05-01
Series:Energies
Subjects:
tunable-Q wavelet transform
tuning parameters
power quality disturbance
XGBoost classification
Online Access:https://www.mdpi.com/1996-1073/15/9/3428
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