三相异步电动机运行指标的分析

利用电机学理论分析了影响电机起动转矩、起动电流、最大转矩和最小转矩的因素。     

局域网服务器缓冲区容量的Petri网设计方法

本文在分析局域网服务器信息缓冲区、数据包接受和发送缓冲区的相互关系基础上提出一种新的局域网服务器缓冲区设计方法─—广义随机Ｐｅｔｒｉ网方法，并给出了局域网服务器信息缓冲区的广义随机Ｐｅｔｒｉ网模型。该设计方法理论完备、严谨实用，且不再局限于追求某一边界值（上限或下限），并且避免了排队理论处理多级服务的繁琐公式。最后本文用一例题说明了这种方法的应用。     

三维结构可靠度对随机变量的敏感性研究

本文基于三维随机有限元提出了结构点可靠度、失效模式的可靠度及整个结构体系的可靠度分别对随机变量的＂分布参数＂和＂极限状态方程参数＂的敏感性计算方法，并以一典型重力坝为例进行了计算，得出了若干有益的结论。     

Optimal predictor for a singular random process

An optimal predictor is developed for a singular random process generated by a known system driven by a white noise sequence. The properties of the predictor are compared with those of the optimal predictor for a nonsingular random process.     

A stochastic maximum principle for systems with jumps, with applications to finance

We consider a stochastic control problem with linear dynamics with jumps, convex cost criterion, and convex state constraint, in which the control enters the drift, the diffusion, and the jump coefficients. We allow these coefficients to be random, and do not impose any L^p-bounds on the control.

We obtain a stochastic maximum principle for this model that provides both necessary and sufficient conditions of optimality. This is the first version of the stochastic maximum principle that covers the consumption–investment problem in which there are jumps in the price system.     

利用电阻场板提高SOI-LIGBT的性能

通过在SOI-LIGBT中引入电阻场板和一个p-MOSFET结构,IGBT的性能得以大幅提高.p-MOSFET的栅信号由电阻场板分压得到.在IGBT关断过程中,p-MOSFET将被开启,作为阳极短路结构起作用,从而使漂移区的过剩载流子迅速消失,IGBT快速关断.而且由于电场受到电阻场板的影响,使得过剩载流子能沿着一个更宽的通道流过漂移区,几乎消去了普通SOI-LIGBT由于衬偏造成的关断的第二阶段.这两个因素使得新结构的关断时间大大减少.在IGBT的开启状态,由于p-MOSFET不导通,因此器件的开启特性几乎与普通器件一致.模拟结果表明,新结构至少能增加25%的耐压,减少65%的关断时间.     

激光诱导激波在氮气中的传播

实验观察了强激光脉冲击穿氮气诱发激波及其传播过程，用爆炸波模型讨论了激波的产生和传播，给出了激波传播的基本规律，对实验结果作出了满意的解释。     

Beyond Wiener–Askey Expansions: Handling Arbitrary PDFs

In this paper we present a Multi-Element generalized Polynomial Chaos (ME-gPC) method to deal with stochastic inputs with arbitrary probability measures. Based on the decomposition of the random space of the stochastic inputs, we construct numerically a set of orthogonal polynomials with respect to a conditional probability density function (PDF) in each element and subsequently implement generalized Polynomial Chaos (gPC) locally. Numerical examples show that ME-gPC exhibits both p- and h-convergence for arbitrary probability measures     

A time series approach to fatigue crack propagation

The inherently nonlinear phenomenon of fatigue crack propagation is modeled as a linear random process. To a first approximation, simple, nonstationary time series models are introduced and standard techniques for determining the parameters of autoregressive integrated moving-average processes are applied. Multiplicative time series models are next utilised for the representation of a group of crack history curves. Implementation of the models on the Virkler experimental data set yields satisfactory results. Reliable Gaussian approximations to the distribution of the time required by a crack to reach a specified critical length are obtained, and the usefulness of the approach is demonstrated when updating lifetime predictions after periodic inspections.     

Mixture of probability distributions as a basic component in simulating measurement accuracy

A stochastic model is proposed for a basic mechanism in the formation of uncertainties in physical quantity measurements. __________ Translated from Izmeritel'naya Tekhnika, No. 1, pp. 12–17, January, 2006.