Results 41 to 50 of about 5,207,763 (284)

Influence of Sampling Frequency Ratio on Mode Mixing Alleviation Performance: A Comparative Study of Four Noise-Assisted Empirical Mode Decomposition Algorithms

Machines, 2021
Four noise-assisted empirical mode decomposition (EMD) algorithms, i.e., ensemble EMD (EEMD), complementary ensemble EMD (CEEMD), complete ensemble EMD with adaptive noise (CEEMDAN), and improved complete ensemble EMD with adaptive noise (ICEEMDAN), are ...
Yanqing Zhao, Kondo H. Adjallah, Alexandre Sava, Zhouhang Wang   +3 more
doaj   +1 more source

Noise Reduction Based on a CEEMD-WPT Crack Acoustic Emission Dataset

Applied Sciences, 2023
In order to solve the noise reduction problem of acoustic emission signals with cracks, a method combining Complementary Ensemble Empirical Mode Decomposition (CEEMD) and wavelet packet (WPT) is proposed and named CEEMD-WPT. Firstly, the single Empirical
Yongfeng Zhao, Yunrui Ma, Junli Du, Chaohua Wang, Dawei Xia, Weifeng Xin, Zhenyu Zhan, Runfeng Zhang, Jiangyi Chen   +8 more
doaj   +1 more source

An adaptive denoising fault feature extraction method based on ensemble empirical mode decomposition and the correlation coefficient

Advances in Mechanical Engineering, 2017
Vibration signal processing is commonly used in the mechanical fault diagnosis. It contains abundant working status information. The vibration signal has some features such as non-linear and non-stationary. It has a lot of interference information. Fault
Huixiang Yang, Tengfei Ning, Bangcheng Zhang, Xiaojing Yin, Zhi Gao   +4 more
doaj   +1 more source

Noise eliminated ensemble empirical mode decomposition for bearing fault diagnosis [PDF]

, 2021
Although noise-assisted decomposition methods, ensemble empirical mode decomposition (EEMD) and complementary EEMD (CEEMD) can reduce the drawbacks of empirical mode decomposition (EMD), they cannot fully eliminate the presence of white noise.
Ngui, Wai Keng, Atik, Faysal, Lim, M. H.
core   +1 more source

Online cable fault ranging method by double-end traveling wave for underground distribution network

Gong-kuang zidonghua, 2016
In order to solve problems of block overlap of frequency bands in cable fault ranging method based on empirical mode decomposition and effect of residual white noise in the one based on ensemble empirical mode decomposition, an online cable fault ranging
ZHAO Min, SHANG Penghui
doaj   +1 more source

Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques [PDF]

, 2014
In order to reduce the muscle artifacts in multi-channel pervasive Electroencephalogram (EEG) signals, we here propose and compare two hybrid algorithms by combining the concept of wavelet packet transform (WPT), empirical mode decomposition (EMD) and ...
Koushik Maharatna, Das, Saptarshi, Saptarshi Das, Maharatna, Koushik, Valentina Bono, Bono, Valentina, Wasifa Jamal, Jamal, Wasifa   +7 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Integrated strategy for real-time wind power fluctuation mitigation and energy storage system control

Global Energy Interconnection
To address the impact of wind-power fluctuations on the stability of power systems, we propose a comprehensive approach that integrates multiple strategies and methods to enhance the efficiency and reliability of a system.
Yu Zhang, Yongkang Zhang, Tiezhou Wu
doaj   +1 more source

On forecasting the intraday Bitcoin price using ensemble of variational mode decomposition and generalized additive model

Journal of King Saud University: Computer and Information Sciences, 2022
High frequency Bitcoin price series are often non-linear and non-stationary and hence forecasting the price of Bitcoin directly or by transformation using statistical models is subject to large errors.
Samuel Asante Gyamerah
doaj   +1 more source