Classification of multiple power quality disturbances based on continuous wavelet transform and lightweight convolutional neural network

Abstract Aiming at the problems of noise interference and too many network parameters for power quality disturbances' (PQDs') classification based on deep learning, the lightweight convolutional neural network combining maximum likelihood Kalman filter and continuous wavelet transform is proposed. I...

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Autors principals:	Yanhui Xi, Xule Li, Feng Zhou, Xin Tang, Zewen Li, Xiangjun Zeng
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2023-09-01
Col·lecció:	Energy Science & Engineering
Matèries:	classification Kalman filter lightweight convolution neural network multiple power quality disturbance
Accés en línia:	https://doi.org/10.1002/ese3.1516
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