Results 111 to 120 of about 245 (131)
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IEEE Transactions on Sustainable Energy, 2021
Since wave fluctuates continuously, the forecast of the wave energy is very important for the operation of power systems integrated with large-scale wave energy generation. A combined model of day-ahead wave energy forecast based on improved grey BP neural network (BPNN) and modified ensemble empirical mode decomposition (MEEMD) -autoregressive ...
Feng Wu +4 more
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Since wave fluctuates continuously, the forecast of the wave energy is very important for the operation of power systems integrated with large-scale wave energy generation. A combined model of day-ahead wave energy forecast based on improved grey BP neural network (BPNN) and modified ensemble empirical mode decomposition (MEEMD) -autoregressive ...
Feng Wu +4 more
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2019 Chinese Control And Decision Conference (CCDC), 2019
The tracking error in the iterative learning control (ILC) process of the permanent magnet linear synchronous motor (PMLSM) servo system can be decomposed into learnable and divergent components by the empirical mode decomposition (EMD) algorithm. The problem of slow convergence or even divergence due to the accumulation of tracking errors in each ...
Wang Limei, Song Hongmei, Liu Longxiang
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The tracking error in the iterative learning control (ILC) process of the permanent magnet linear synchronous motor (PMLSM) servo system can be decomposed into learnable and divergent components by the empirical mode decomposition (EMD) algorithm. The problem of slow convergence or even divergence due to the accumulation of tracking errors in each ...
Wang Limei, Song Hongmei, Liu Longxiang
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Palmprint Recognition with MEEMD and Statistically Independent Coefficients ICA
2011A palmprint recognition method based on multi-dimensional ensemble empirical mode decomposition (MEEMD) and statistically independent coefficients independent components analysis (ICAII) is proposed in this article. Palmprint images are decomposed with MEEMD to get high frequency IMF components and low frequency IMF components, then reconstruct ...
Ting-Qin Yan +2 more
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2021
<p>Abstract</p><p>Most of the time series in nature are nonlinear and nonstationary affected by climate change particularly. It is inevitable that Taiwan has also experienced frequent drought events in recent years.
Chun-Hsiang Tang, Christina W. Tsai
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<p>Abstract</p><p>Most of the time series in nature are nonlinear and nonstationary affected by climate change particularly. It is inevitable that Taiwan has also experienced frequent drought events in recent years.
Chun-Hsiang Tang, Christina W. Tsai
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2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), 2019
In the process of fault diagnosis of centrifugal pump, according to the characteristics of large amount of information, non-stationary and nonlinear of vibration signal, a fault diagnosis method based on Modified Ensemble Empirical Mode Decomposition- Permutation Entropy (MEEMD-PE) time-frequency information entropy and Random forest is proposed in ...
Yihan Wang, Hongmei Liu
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In the process of fault diagnosis of centrifugal pump, according to the characteristics of large amount of information, non-stationary and nonlinear of vibration signal, a fault diagnosis method based on Modified Ensemble Empirical Mode Decomposition- Permutation Entropy (MEEMD-PE) time-frequency information entropy and Random forest is proposed in ...
Yihan Wang, Hongmei Liu
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Mining, Metallurgy & Exploration, 2020
To overcome the difficulty of accurately judging the load state of a wet ball mill during the grinding process, a method of mill load identification based on the singular value entropy of the modified ensemble empirical mode decomposition (MEEMD) and a probabilistic neural network (PNN) classifier is proposed.
Gaipin Cai +4 more
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To overcome the difficulty of accurately judging the load state of a wet ball mill during the grinding process, a method of mill load identification based on the singular value entropy of the modified ensemble empirical mode decomposition (MEEMD) and a probabilistic neural network (PNN) classifier is proposed.
Gaipin Cai +4 more
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Optical Measurement Systems for Industrial Inspection XI, 2019
Carbon fiber reinforced plastics (CFRP) are composite materials which are an interesting alternative to metal alloys in fields such as oil, aerospace, automotive, since CFRP have mechanical properties like metals but with a fraction of their weights.
Bernardo Cassimiro Fonseca de Oliveira +5 more
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Carbon fiber reinforced plastics (CFRP) are composite materials which are an interesting alternative to metal alloys in fields such as oil, aerospace, automotive, since CFRP have mechanical properties like metals but with a fraction of their weights.
Bernardo Cassimiro Fonseca de Oliveira +5 more
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Fault diagnosis of reciprocating machinery based on improved MEEMD-SqueezeNet
Measurement, 2023Junling Zhang +3 more
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Multi Branch Series arc Fault Detection Based on MEEMD and GRU Network
2022 4th International Symposium on Smart and Healthy Cities (ISHC), 2022Qiongfang Yu, Yuhai Zhang, Wenhao Lu
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Forecasting Gold Price Using a Novel Hybrid Model with Meemd-Convlstm
2023Yu Lin +3 more
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