An Incremental Kernel Density Estimator for Data Stream Computation

He, Yulin; Jie, Jinchuan; Dai, Dexin; Fabrice, Klohoun

doi:10.1155/2020/1803525

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…In certain design scenarios only the probabilities over certain regions of time and/or space may be of interest, which incurs less computation and storage. For more sophisticated implementations of incremental/on‐line PDF estimation see References 25‐30. Note that statistics, such as the mean, variance, minimum, and maximum, also have straightforward on‐line implementations.…”

Section: Uq Methodologymentioning

confidence: 99%

A minimally invasive, efficient method for propagation of full‐field uncertainty in solid dynamics

Jones

Redle

Kolla

et al. 2021

Numerical Meth Engineering

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We present a minimally invasive method for forward propagation of material property uncertainty to full‐field quantities of interest in solid dynamics. Full‐field uncertainty quantification enables the design of complex systems where quantities of interest, such as failure points, are not known a priori . The method, motivated by the well‐known probability density function (PDF) propagation method of turbulence modeling, uses an ensemble of solutions to provide the joint PDF of desired quantities at every point in the domain. A small subset of the ensemble is computed exactly, and the remainder of the samples are computed with approximation of the evolution equations based on those exact solutions. Although the proposed method has commonalities with traditional interpolatory stochastic collocation methods applied directly to quantities of interest, it is distinct and exploits the parameter dependence and smoothness of the driving term of the evolution equations. The implementation is model independent, storage and communication efficient, and straightforward. We demonstrate its efficiency, accuracy, scaling with dimension of the parameter space, and convergence in distribution with two problems: a quasi‐one‐dimensional bar impact, and a two material notched plate impact. For the bar impact problem, we provide an analytical solution to PDF of the solution fields for method validation. With the notched plate problem, we also demonstrate good parallel efficiency and scaling of the method.

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Section: Uq Methodologymentioning

confidence: 99%

A minimally invasive, efficient method for propagation of full‐field uncertainty in solid dynamics

Jones

Redle

Kolla

et al. 2021

Numerical Meth Engineering

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show abstract

“…In the two‐phase static coordinate system, the voltage formula of PMSM is shown in formula ().

\{\begin{matrix} left \\ u_{s α} = R_{s} i_{s α} + \frac{d ψ_{s α}}{italicdt}, \\ u_{s β} = R_{s} i_{s β} + \frac{d ψ_{s β}}{italicdt} . \end{matrix}

Formula (), the

{([], u_{sa} u_{italics β})}^{T}

stator voltage is the axis component vector in the coordinate system

α, β {([], ψ_{sa} ψ_{italics β})}^{T}

, the

α β

axis and

β

axis components

{([], i_{sa} i_{italics β})}^{T}

of the magnetic force chain are

α

determined

α

β

the current components of the axis and the axis are determined, and

R_{s}

the phase resistance characteristic coefficient of the stator winding is determined 18 . On the

α β

shaft, two phase constant timing,

p

is the number of stages, and the expression for electromagnetic torque

T_{e}

of the motor is shown in formula ().…”

Section: Construction Of Mathematical Model and Prediction Methods Of...mentioning

confidence: 99%

Current segmentation control method of permanent magnet motor based on duty cycle modulation

Lan

2023

Adv Control Appl

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In the control system of permanent magnet synchronous motor, in order to improve real‐time performance and computational complexity, a new method of implementing segmented current control of permanent magnet motor using duty cycle modulation is proposed. The term plane is divided into three sectors through three‐phase voltage vector, and current prediction iteration is performed to obtain the relevant duty cycle, and the periodic modulation of this method (DM‐MPCC) is verified by experiments and the traditional DV‐MPCC (DV‐MPCC), the method is repeated more than 150 times, the time required for this method is 2.863 s, saving 52.073% of the computing time, while the modulation duty of DM‐MPCC It is also more stable than the waveform, and the current THD = 2.986% DM‐MPCC is much lower than the conventional method. DM‐MPCC has less pulsation on the dq axis at full speed than DV‐MPCC. The results show that the method has a faster operation speed and better real‐time performance, which shows the superiority of this method in practical applications.

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Preservation of historical heritage increases bird biodiversity in urban centers

Bhakti

Rossi

Mafia

et al. 2020

Environ Dev Sustain

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An Incremental Kernel Density Estimator for Data Stream Computation

Cited by 3 publications

References 21 publications

A minimally invasive, efficient method for propagation of full‐field uncertainty in solid dynamics

A minimally invasive, efficient method for propagation of full‐field uncertainty in solid dynamics

Current segmentation control method of permanent magnet motor based on duty cycle modulation

Preservation of historical heritage increases bird biodiversity in urban centers

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