Results 21 to 30 of about 580,269 (285)

Gaussian Process Koopman Mode Decomposition

Neural Computation, 2023
AbstractWe propose a nonlinear probabilistic generative model of Koopman mode decomposition based on an unsupervised gaussian process. Existing data-driven methods for Koopman mode decomposition have focused on estimating the quantities specified by Koopman mode decomposition: eigenvalues, eigenfunctions, and modes.
Kawashima, Takahiro, Hino, Hideitsu
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Short-Term Load Probabilistic Forecasting Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Reconstruction and Salp Swarm Algorithm

Energies, 2021
Short-term load forecasting is an important part of load forecasting, which is of great significance to the optimal power flow and power supply guarantee of the power system.
Tianyu Hu, Mengran Zhou, Kai Bian, Wenhao Lai, Ziwei Zhu   +4 more
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Large Eddy Simulation and Dynamic Mode Decomposition of Turbulent Mixing Layers

Applied Sciences, 2021
Turbulent mixing layers are canonical flow in nature and engineering, and deserve comprehensive studies under various conditions using different methods. In this paper, turbulent mixing layers are investigated using large eddy simulation and dynamic mode
Yuwei Cheng, Qian Chen
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Fault diagnosis of rolling bearings based on variational mode decomposition and calculus enhanced energy operator

工程科学学报, 2016
Aiming at the characteristics of rolling bearing fault vibration signals and considering the merits of variational mode decomposition in mono-component separation and calculus enhanced energy operator in transient impulse detection, this article ...
ZHANG Dong, FENG Zhi-peng
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Deep learning–based vortex decomposition and switching based on fiber vector eigenmodes

Nanophotonics, 2023
Structured optical fields, such as cylindrical vector (CV) and orbital angular momentum (OAM) modes, have attracted considerable attention due to their polarization singularities and helical phase wavefront structure.
Hou Mengdie, Xu Mengjun, Xu Jiangtao, Lu Jiafeng, An Yi, Huang Liangjin, Zeng Xianglong, Pang Fufei, Li Jun, Yi Lilin   +9 more
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Enhancing Performance of Single-Channel SSVEP-Based Visual Acuity Assessment via Mode Decomposition

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
This study aimed to improve the performance of single-channel steady-state visual evoked potential (SSVEP)-based visual acuity assessment by mode decomposition methods.
Xiaowei Zheng, Xun Zhang, Guanghua Xu, Rui Zhang   +3 more
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Multienergy Load Forecasting for Regional Integrated Energy Systems Considering Multienergy Coupling of Variation Characteristic Curves

Frontiers in Energy Research, 2021
Multienergy load forecasting (MELF) is the premise of regional integrated energy systems (RIES) production planning and energy dispatch. The key of MELF is the consideration of multienergy coupling and the improvement of prediction accuracy. Therefore, a
Shouxiang Wang, Kaixin Wu, Qianyu Zhao, Shaomin Wang, Liang Feng, Zhijie Zheng, Guo Wang   +6 more
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Fault detection of gearbox by multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm

Scientific Reports, 2023
A novel detection method based on multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm (MEVMDTFI–IRVM) is presented for fault detection of gearbox.
Siwei Nao, Yan Wang
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Large Eddy Simulation of the Influences of the Pilot-Stage Structure on the Flow Characteristics in a Centrally Staged High-Temperature-Rise Combustor

Aerospace, 2022
Centrally staged combustion technique is often used in the military high-temperature-rise combustor. The pilot-stage structure affects the flow characteristics in the centrally staged combustor, which further affects the performance of ignition ...
Ge Hu, Qiongyao Qin, Wu Jin, Jianzhong Li   +3 more
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BroadBand-Adaptive VMD with Flattest Response

Mathematics, 2023
A mixed signal with several unknown modes is common in the industry and is hard to decompose. Variational Mode Decomposition (VMD) was proposed to decompose a signal into several amplitude-modulated modes in 2014, which overcame the limitations of ...
Xizhong Shen, Ran Li
doaj   +1 more source