Results 41 to 50 of about 26,466 (149)
Objective Existing methods for high-speed train gearbox bearing monitoring and diagnosis in China often rely solely on temperature or vibration data.
WANG Lianfu +3 more
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Anomalies, VMD and the Enjl Model
8 pages, plain LaTeX, preprint NORDITA - 93/69 N,P and NBI-93 ...
Bijnens, Johan, Prades, Joaquim
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Power load forecasting based on SMD-Informer-BiLSTM
To address the limitations of traditional methods—such as inadequate feature extraction and insufficient nonlinear processing capability in single deep learning models—this paper proposes a novel power load forecasting model integrating secondary modal ...
XU Shixin +5 more
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A hybrid energy storage system (HESS) composed of batteries and supercapacitors can effectively mitigate the impact of photovoltaic (PV) output randomness and fluctuation on grid connection.
GUO Beiyuan +6 more
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The prediction of agricultural commodity futures returns is crucial for understanding global economic trends, alleviating inflationary pressures, and optimizing investment portfolios.
Yiling Ye +4 more
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Abstract A conflict between strong PCAC and VMD is pointed out in the decay π o → γγ . A solution of the problem is presented in the weak PCAC framework.
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VDNA: The virtual DNA plug-in for VMD [PDF]
Abstract Summary: The DNA inter base pair step parameters (Tilt, Roll, Twist, Shift, Slide, Rise) are a standard internal coordinate representation of DNA. In the absence of bend and shear, it is relatively easy to mentally visualize how Twist and Rise generate the familiar double helix.
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This study focuses on the integration of vacuum membrane distillation into the multi-effect distillation (VMD-MED) system, incorporating heat recovery mechanisms to augment fresh water productivity and minimize the specific thermal energy consumption of ...
Wajeeha Bibi +3 more
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A Review on Variational Mode Decomposition for Rotating Machinery Diagnosis
Signal processing method is very important in most diagnosis approach for rotating machinery due to non-linearity, non-stationary and noise signals. Recently, a new adaptive signal decomposition method has been proposed by Dragomiretskiy and Zosso known ...
Isham M. Firdaus +3 more
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Stock price forecasting is complex due to the nonlinear and nonstationary nature of financial time series. This study proposes a hybrid variational mode decomposition (VMD)–generalized autoregressive conditional heteroskedasticity (GARCH)–long short-term
John Kamwele Mutinda +2 more
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