Cargando…

A Novel Hybrid Approach for Partial Discharge Signal Detection Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Approximate Entropy

To eliminate the influence of white noise in partial discharge (PD) detection, we propose a novel method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and approximate entropy (ApEn). By introducing adaptive noise into the decomposition process, CEEMDAN can eff...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shang, Haikun, Li, Yucai, Xu, Junyan, Qi, Bing, Yin, Jinliang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597099/ https://www.ncbi.nlm.nih.gov/pubmed/33286808 http://dx.doi.org/10.3390/e22091039

Ejemplares similares

Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition
por: Chang, Kang-Ming
Publicado: (2010)

Bearing Fault Diagnosis Using Piecewise Aggregate Approximation and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise
por: Hu, Lei, et al.
Publicado: (2022)

Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis
por: Faysal, Atik, et al.
Publicado: (2021)

An approach using ensemble empirical mode decomposition to remove noise from prototypical observations on dam safety
por: Su, Huaizhi, et al.
Publicado: (2016)

Muscle Fatigue Analysis With Optimized Complementary Ensemble Empirical Mode Decomposition and Multi-Scale Envelope Spectral Entropy
por: Zhao, Juan, et al.
Publicado: (2020)

Enhanced Partial Discharge Signal Denoising Using Dispersion Entropy Optimized Variational Mode Decomposition
por: Dhandapani, Ragavesh, et al.
Publicado: (2021)

A Novel Linear Spectrum Frequency Feature Extraction Technique for Warship Radio Noise Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Duffing Chaotic Oscillator, and Weighted-Permutation Entropy
por: Li, Yuxing, et al.
Publicado: (2019)

A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning
por: Liu, Shidi, et al.
Publicado: (2022)

A Human ECG Identification System Based on Ensemble Empirical Mode Decomposition
por: Zhao, Zhidong, et al.
Publicado: (2013)

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition
por: Lei, Yaguo, et al.
Publicado: (2013)

Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition
por: Zou, Yingquan, et al.
Publicado: (2019)

Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals
por: Zhang, Yi, et al.
Publicado: (2017)

A New Time Series Forecasting Model Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Temporal Convolutional Network
por: Guo, Chen, et al.
Publicado: (2022)

A Novel Feature Extraction Method for Power Transformer Vibration Signal Based on CEEMDAN and Multi-Scale Dispersion Entropy
por: Shang, Haikun, et al.
Publicado: (2021)

Partial Discharge Fault Diagnosis Based on Multi-Scale Dispersion Entropy and a Hypersphere Multiclass Support Vector Machine
por: Shang, Haikun, et al.
Publicado: (2019)

A Comprehensive Fault Diagnosis Method for Rolling Bearings Based on Refined Composite Multiscale Dispersion Entropy and Fast Ensemble Empirical Mode Decomposition
por: Zhang, Weibo, et al.
Publicado: (2019)

Fast multidimensional ensemble empirical mode decomposition for the analysis of big spatio-temporal datasets
por: Wu, Zhaohua, et al.
Publicado: (2016)

An Adaptive ECG Noise Removal Process Based on Empirical Mode Decomposition (EMD)
por: Hussein, Ahmed. F., et al.
Publicado: (2022)

Detection of stretch reflex onset based on empirical mode decomposition and modified sample entropy
por: Du, Mingjia, et al.
Publicado: (2019)

Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models
por: Prosvirin, Alexander E., et al.
Publicado: (2018)

Short-Term Prediction of COVID-19 Using Novel Hybrid Ensemble Empirical Mode Decomposition and Error Trend Seasonal Model
por: Khan, Dost Muhammad, et al.
Publicado: (2022)

The Quasi-Biennial Vertical Oscillations at Global GPS Stations: Identification by Ensemble Empirical Mode Decomposition
por: Pan, Yuanjin, et al.
Publicado: (2015)

Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition
por: Wang, Yongbin, et al.
Publicado: (2021)

Forecasting the Tuberculosis Incidence Using a Novel Ensemble Empirical Mode Decomposition-Based Data-Driven Hybrid Model in Tibet, China
por: Li, Jizhen, et al.
Publicado: (2021)

Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals
por: Shi, Manhong, et al.
Publicado: (2020)

Optimized Variational Mode Decomposition and Permutation Entropy with Their Application in Feature Extraction of Ship-Radiated Noise
por: Xie, Dongri, et al.
Publicado: (2021)

A Noise Reduction Method for Dual-Mass Micro-Electromechanical Gyroscopes Based on Sample Entropy Empirical Mode Decomposition and Time-Frequency Peak Filtering
por: Shen, Chong, et al.
Publicado: (2016)

Noise Reduction Method of Underwater Acoustic Signals Based on Uniform Phase Empirical Mode Decomposition, Amplitude-Aware Permutation Entropy, and Pearson Correlation Coefficient
por: Li, Guohui, et al.
Publicado: (2018)

Stress Wave Signal Denoising Using Ensemble Empirical Mode Decomposition and an Instantaneous Half Period Model
por: Fang, Yi-Ming, et al.
Publicado: (2011)

Investigating Properties of the Cardiovascular System Using Innovative Analysis Algorithms Based on Ensemble Empirical Mode Decomposition
por: Yeh, Jia-Rong, et al.
Publicado: (2012)

Fluorescence Intrinsic Characterization of Excitation-Emission Matrix Using Multi-Dimensional Ensemble Empirical Mode Decomposition
por: Chang, Chi-Ying, et al.
Publicado: (2013)

Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task
por: Al-Subari, Karema, et al.
Publicado: (2015)

Cardiopulmonary Resuscitation Pattern Evaluation Based on Ensemble Empirical Mode Decomposition Filter via Nonlinear Approaches
por: Sadrawi, Muammar, et al.
Publicado: (2016)

Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
por: Wu, Jiang, et al.
Publicado: (2020)

A novel algorithm based on ensemble empirical mode decomposition for non-invasive fetal ECG extraction
por: Barnova, Katerina, et al.
Publicado: (2021)

Empirical mode decomposition with missing values
por: Kim, Donghoh, et al.
Publicado: (2016)

Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition
por: Cho, Jung-Hoon, et al.
Publicado: (2022)

A hybrid model for tuberculosis forecasting based on empirical mode decomposition in China
por: Zhao, Ruiqing, et al.
Publicado: (2023)

A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition
por: Dai, Yangyang, et al.
Publicado: (2021)

Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir
por: Yang, Beibei, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_dop4g7a6p81iocqsl1e81r9jhu