Results 61 to 70 of about 5,122,568 (192)
A novel method to identify the flow pattern of oil–water two-phase flow
Journal of Petroleum Exploration and Production Technology, 2020 This paper presents a novel method combining extreme learning machine (ELM) and multiple empirical mode decomposition (MEMD) to identify flow patterns of oil–water two-phase flow. The proposed method can recognize accurately five typical flow patterns of
Zhong-Cheng Li, Chun-Ling Fan
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Islanding Detection in DC Microgrids Based on Empirical Mode Decomposition
IET Renewable Power GenerationImproved efficiency, enhanced integration with distributed generations (DGs), and the proliferation of DC loads in power systems have driven a surge in the adoption of DC microgrids (DCMGs).
Hengameh Chabok +2 more
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Using Empirical Mode Decomposition to Estimate Amplitudes in Noisy Data. [PDF]
Empirical Mode Decomposition, an adaptive data-driven technique which can be used to extract non-stationary signals buried in noise, seldom admits theoretical calculation of the statistical properties of the extracted signals.
Claire Blackman
core
Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition [PDF]
, 2012 [[abstract]]A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces.
張剛鳴;Chang, Kang-Ming
core
Accounting for nonstationarity in the condition monitoring of wind turbine gearboxes [PDF]
, 2013 Increasing growth of wind turbine systems suggests a more systematic research around their design, operation and maintenance is needed. These systems operate under challenging enviromental conditions and failure of some of their parts, for the time being,
Antoniadou, Ifigeneia
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An Investigation Study on Mode Mixing Separation in Empirical Mode Decomposition
IEEE Access, 2019 Mode mixing is a limitation of the empirical mode decomposition (EMD) method appropriate for physiological signal analysis. In 2008, boundary condition map presented by Rilling and Flandrin provided the efficiency of separating the two components of a ...
Han-Ping Huang +5 more
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Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition
Sensors, 2013 The vibration based signal processing technique is one of the principal tools for diagnosing faults of rotating machinery. Empirical mode decomposition (EMD), as a time-frequency analysis technique, has been widely used to process vibration signals of ...
Yaguo Lei +3 more
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, 2018 Soil moisture (SM) is an essential component of the environmental and the agricultural system. Continuous monitoring and forecasting of soil moisture is a desirable strategy to understand the soil dynamics for proactive planning and decision-making ...
Deo, Ravinesh C. +7 more
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Empirical Blaschke Mode decomposition: Algorithm and application.
PLoS ONEPeriodic pulse components are common in complex signals across fields like biomedical and aerospace engineering, and their accurate extraction is crucial for monitoring.
Sainan Li, Jing Wu
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The research progress of empirical mode decomposition and mode mixing elimination
Dianzi Jishu Yingyong, 2019 The Empirical Mode Decomposition(EMD) algorithm proposed by Huang is a data driven adaptive analysis method for nonlinear time-varying signals. The signals can be decomposed into a few Intrinsic Mode Functions(IMFs) components with physical meaning ...
Dai Ting +5 more
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