Results 31 to 40 of about 2,881,469 (278)

Enhanced Discrimination of Seismic Geological Channels Based on Multi-Trace Variational Mode Decomposition

Applied Sciences, 2022
The spectral decomposition is a valuable tool for improving the resolution of seismic interpretation, and thus can improve the accuracy of the subtle geo-features (thin and narrow channels, thin reservoirs, etc.).
Jiaxuan Leng, Zhichao Yu, Chaodong Wu
doaj   +1 more source

Empirical Mode Decomposition Aided by Adaptive Low Pass Filtering [PDF]

, 2012
Empirical Mode Decomposition (EMD) is an adaptive signal analysis technique which derives its basis functions from the signal itself. EMD is realized through successive iterations of a sifting process requiring local mean computation.
Arıkan, Orhan, A. Enis Cetin, Cetin, A. Enis, Orhan Arikan, Onur Ozturk, Arikan ,Orhan, Ozturk, Onur   +6 more
core   +1 more source

A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model [PDF]

, 2022
In this article, an original data-driven approach is proposed to detect both linear and nonlinear damage in structures using output-only responses.
Yang, TY, Kalbkhan, Hashem, Kalbkhani, Hashem, Ehsan Noroozinejad Farsangi, T. Y. Yang, Gharehbaghi, Vahidreza, Noroozinejad Farsangi, Ehsan (R21087), Hashem Kalbkhani, Seyedali Mirjalili, Gharehbaghi, Vahid Reza, Farsangi, Ehsan Noroozinejad, Vahid Reza Gharehbaghi, Mirjalili, Seyedali, Yang, T. Y.   +13 more
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Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series

Entropy, 2022
The prediction of time series is of great significance for rational planning and risk prevention. However, time series data in various natural and artificial systems are nonstationary and complex, which makes them difficult to predict.
Zhigang Shi, Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jianlei Kong   +5 more
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A Novel Intelligent Fault Diagnosis Method Based on Variational Mode Decomposition and Ensemble Deep Belief Network

IEEE Access, 2020
The deep belief network is widely used in fault diagnosis and health management of rotating machinery. However, on the one hand, deep belief networks only tend to focus on the global information of bearing vibration, ignoring local information.
Chao Zhang, Yibin Zhang, Chenxi Hu, Zhenbao Liu, Liye Cheng, Yong Zhou   +5 more
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Multichannel Signal Denoising Using Multivariate Variational Mode Decomposition With Subspace Projection

IEEE Access, 2020
This paper describes a novel multichannel signal denoising approach based on multivariate variational mode decomposition (MVMD). MVMD is the extended version of the variational mode decomposition (VMD) algorithm for multichannel data sets.
Peipei Cao, Huali Wang, Kaijie Zhou
doaj   +1 more source

Short-term traffic flow prediction: An ensemble machine learning approach

Alexandria Engineering Journal, 2023
The inconvenience of travel, air pollution and consequent economic losses caused by traffic congestion have seriously restricted the healthy and sustainable development of cities in China.
Guowen Dai, Jinjun Tang, Wang Luo
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Variational Mode Decomposition Features for Heartbeat Classification

Computing in Cardiology Conference (CinC), 2018
In software applications to analyse Heart Rate Variability (HRV) or to detect heart rhythm disorders, automatic heartbeat classification is a first step to expose abnormalities in the electrical activity of the heart. We propose a new morphological description of heartbeats based on Variational Mode Decomposition (VMD) to classify them as normal ...
Villa Gómez, A., Padhy, S., Willems, R., Van Huffel, S., Varon Perez, C.   +4 more
openaire   +2 more sources

ROTOR FAULT FEATURE EXTRACTION METHOD USING MVMD AND IEDPE (MT)

Jixie qiangdu, 2023
To accurately characterize the different operating states of the rotor system, a modified variational mode decomposition（MVMD） combined with instantaneous energy distribution permutation entropy（IEDPE） is proposed to quantify and extract rotor fault ...
WU YaoChun, GUO XiaoBo, DU ShaoHua, JU Hai, ZHAO Yan, WU Jie, JIA XiaoFeng   +6 more
doaj  

Research on an Identification Method of Post Porcelain Insulator Damage Based on Variational Modal Algorithm

Zhejiang dianli, 2022
In view of the difficulty in signal identification in vibration acoustic detection of post porcelain insulators， A BP （backpropagation） neural network identification method based on variational mode decomposition （VMD） is proposed to identify the damage ...
LUO Hongjian, ZHANG Jie, ZHAO Zhoufeng, JIAO Jingpin   +3 more
doaj   +1 more source