A two-stage wavelet decomposition method for instantaneous power quality indices estimation considering interharmonics and transient disturbances

Y Yu, W Zhao, S Li, S Huang - … and Measurement, 2021 - ieeexplore.ieee.org
… The wavelet transform (WT) is proven to be an effective tool for PQI estimations [6], [13]–[16]. …
instantaneous power quantities measurement method based on wavelet packet transform,” …

A critical and comprehensive review on power quality disturbance detection and classification

P Khetarpal, MM Tripathi - Sustainable Computing: Informatics and …, 2020 - Elsevier
power quality disturbance detection and classification. In this paper, signal processing techniques
such as Fourier transform (… wavelet transform (EWT) based adaptive filtering technique

A classification method for multiple power quality disturbances using EWT based adaptive filtering and multiclass SVM

K Thirumala, S Pal, T Jain, AC Umarikar - Neurocomputing, 2019 - Elsevier
… recognition approach for the classification of power quality (PQ) disturbances based on …
Empirical wavelet transform-based adaptive filtering technique is suitable for nonstationary …

Power quality disturbance recognition based on multiresolution S-transform and decision tree

T Zhong, S Zhang, G Cai, Y Li, B Yang, Y Chen - IEEE Access, 2019 - ieeexplore.ieee.org
… the challenges of increasing power system pollution. This … signal recognition method based
on Multiresolution S transform (… power quality disturbances using discrete wavelet transform

Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

M Mishra - International transactions on electrical energy …, 2019 - Wiley Online Library
… signals by considering a multiresolution analysis (MRA) technique.33 The wavelet transform
coefficients possess the key attributes and characteristics of power quality disturbance …

Power quality assessment and event detection in distribution network with wind energy penetration using stockwell transform and fuzzy clustering

OP Mahela, B Khan, HH Alhelou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… digital signal processing techniques are utilized nowadays [5]. The basic tool utilized for
PQ analysis is short-time Fourier transform (STFT). Furthermore, Wavelet transform (WT) has …

Power quality disturbance classification under noisy conditions using adaptive wavelet threshold and DBN-ELM hybrid model

Y Gao, Y Li, Y Zhu, C Wu, D Gu - Electric power systems research, 2022 - Elsevier
… in power qualityWavelet transform has been successfully applied in denoising for some
years, so when the signal with noise is decomposed by wavelet, the high-frequency wavelet

Detection and classification of power quality disturbances using GWO ELM

U Subudhi, S Dash - Journal of Industrial Information Integration, 2021 - Elsevier
… S-transform was developed to overcome disadvantages of short time Fourier transform (STFT)
and continuos wavelet transform (CWT). STFT is ineffective for non stationary signals and …

Detection and classification of multiple power quality disturbances using stockwell transform and deep learning

C Cui, Y Duan, H Hu, L Wang… - … and measurement, 2022 - ieeexplore.ieee.org
… feature selection algorithm for classification of power quality disturbances using discrete
wavelet transform and probabilistic neural network,” Measurement, vol. 95, pp. 246–259, Jan. …

A Kaiser window-based S-transform for time-frequency analysis of power quality signals

C Liang, Z Teng, J Li, W Yao, S Hu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… In this article, a novel TF based analysis method KST was proposed for the detection of
PQ … and three-phase power quality indices using empirical wavelet transform,” IEEE Trans. …