Results 31 to 40 of about 44,247 (243)

Field representation for optical defect resonances in multilayer microcavities using quasi-normal modes [PDF]

open access: yes, 2008
Quasi-normal modes are used to characterize transmission resonances in 1D optical defect cavities and the related field approximations. We specialize to resonances inside the bandgap of the periodic multilayer mirrors that enclose the defect cavities ...
Groesen, E. van   +2 more
core   +3 more sources

A Novel Intelligent Fault Diagnosis Method Based on Variational Mode Decomposition and Ensemble Deep Belief Network

open access: yesIEEE 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   +5 more
doaj   +1 more source

ORB5: a global electromagnetic gyrokinetic code using the PIC approach in toroidal geometry [PDF]

open access: yes, 2019
This paper presents the current state of the global gyrokinetic code ORB5 as an update of the previous reference [Jolliet et al., Comp. Phys. Commun. 177 409 (2007)]. The ORB5 code solves the electromagnetic Vlasov-Maxwell system of equations using a PIC
Angelino, P.   +22 more
core   +2 more sources

Multichannel Signal Denoising Using Multivariate Variational Mode Decomposition With Subspace Projection

open access: yesIEEE 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

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

open access: yesZhejiang 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   +3 more
doaj   +1 more source

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

open access: yesJixie 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   +6 more
doaj  

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

open access: yesAlexandria 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
doaj   +1 more source

Bayesian Robust Tensor Factorization for Incomplete Multiway Data [PDF]

open access: yes, 2015
We propose a generative model for robust tensor factorization in the presence of both missing data and outliers. The objective is to explicitly infer the underlying low-CP-rank tensor capturing the global information and a sparse tensor capturing the ...
Amari, Shun-ichi   +4 more
core   +1 more source

A novel few-sample wind power prediction model based on generative adversarial network and quadratic mode decomposition

open access: yesFrontiers in Energy Research, 2023
With the emergence of various new power systems, accurate wind power prediction plays a critical role in their safety and stability. However, due to the historical wind power data with few samples, it is difficult to ensure the accuracy of power system ...
Hang He, Hang He, Manman Yuan
doaj   +1 more source

Coulomb field of an accelerated charge: physical and mathematical aspects [PDF]

open access: yes, 1991
The Maxwell field equations relative to a uniformly accelerated frame, and the variational principle from which they are obtained, are formulated in terms of the technique of geometrical gauge invariant potentials.
C Teitelboim   +28 more
core   +2 more sources

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