舰载火箭武器系统随机响应分析

利用随机振动复模态分析，提出了一种求解时变线性系统，在确定性激励与随机激励共同作用下非平稳随机响应的计算方法，并以舰载火箭武器系统为研究对象，用该法探讨了海浪对舰面火箭发射初始扰动和系统振动特性的影响。     

Operating experience from the ehecatl wind turbines

This paper presents a summary of the mechanical features and the medium term operating experience from three small horizontal axis wind energy conversion systems covering a range of 500 to 5000 Watt, intented for rural and isolated communities. These turbines have a new regulator which reduces gyroscopic loads, is easy to adjust and could be manufactured stronger and in smaller sizes than the conventional tail vanes. It is concluded that is feasible to build cheaps and reliable wind turbine generators with an acceptable efficiency employing common-use elements, but is needed a careful and optimized design.     

概率空间中的一个不等式

设｛Ｚ，（Ｗ）｝是定义在概率空间上的独立的随机变量序列，Ｚ（Ｗ）具有方差为期望Ｅ（Ｚｎ）＝０．本文证明了对任意算数序列｛ｂｎ｝及任意的存在充分大的整数Ｎ＞０使当Ｎ＇＞Ｎ″＞Ｎ时．有此不等式在随机级数研究中有重要作用．     

光敏丝室探测器PET的触发判选处理器

介绍了为光敏丝室探测器PET而设计的触发判选处理器（TRIG）的结构和原理，该处理器具有触发判选，计数率损失测量，随机符合事例率测量，探测器分区计数统计以及系统定标等多项功能，由于应用了EPLD技术和流水线作业等技术，实现了TRIG系统的高集成度和高性能 。     

露天矿山牙轮钻机主参数确定探讨

通过对牙轮钻、轴压、钻头速度、排碴风量、排碴风压的论述得出了如何调定牙轮钻的参数，为以后我矿牙轮钻在生产中获取最大经济效益积累了有益的资料。     

无差拍控制提高变速异步风力发电系统的故障承受能力

变速风力发电机对于电网扰动、故障以及电网电压跌落非常敏感，当上述情况发生时风力发电机将从电网切除，直到电网恢复正常才能重新投入运行。如何在电网发生扰动时保持风力发电机的正常运行是一个有挑战性的课题。未来的电网规范甚至要求在电网发生故障时风力机组仍能保持运行，这就要求必须安装保证风电机组低电压运行的控制装置。文中针对采用全载换流器与电网进行连接的异步风力发电机组提出了相应的风电机组低电压控制器及控制策略，无须进行硬件改造即可实现电网故障情况下风电机组不退出运行。其中，风电机组电气子系统控制器基于无差拍控制策略进行设计。算例给出了300 kW的风电机组在30%电压跌落情况下的暂态过程，没有加入控制器之前风电机组将停机，加入之后则可以保持运行，验证了所提方法的正确性。     

Identification of Chaos Representations of Elastic Properties of Random Media Using Experimental Vibration Tests

This paper deals with the experimental identification of the probabilistic representation of a random field modelling the Young modulus of a nonhomogeneous isotropic elastic medium by experimental vibration tests. Experimental data are constituted of frequency response functions on a given frequency band and for a set of observed degrees of freedom on the boundary of specimens. The random field representation is based on the polynomial chaos decomposition. The coefficients of the polynomial chaos are identified setting an inverse problem and then in solving an optimization problem related to the maximum likelihood principle.     

链条锅炉的节能改造

本文针对株洲硬质合金厂SHL20—13—AII型20t蒸汽链条锅炉存在的问题，进行了节能改造，取得了显著的成效。     

一种基于混沌的随机数发生器设计及其IC实现

在密码学、仿真学以及集成电路测试等许多领域 ,随机数起着重要的作用。在密码学中 ,通常要求所使用的随机数具有不可预测性。基于混沌现象 ,使用开关电容技术 ,用集成电路实现了一种硬件随机数发生器。测试结果表明 ,其产生的序列具有不可预测性 ,可以满足密码学的应用要求。     

Extremes of random fields over arbitrary domains with application to concrete rupture stresses

To find the exact probability distribution of the global maximum or minimum of a random field within a bounded domain is a pending problem even for Gaussian fields. Except for very special examples of fields, recourse must be taken to approximate reasoning or asymptotic considerations to be judged with respect to accuracy by simulations. In this paper, the problem is addressed through a functional equation that leads to the definition of a class of distribution functions that depend solely on process or field characteristics and domain quantities that can be calculated explicitly. This distribution function class is studied for Gaussian processes in earlier works by the author and it has been obtained explicitly for Gaussian fields on rectangular domains in the plane. Simulation studies show that rather good predictions are obtained for sufficiently smooth wide band Gaussian processes and fields. In this paper, the distribution function is obtained in general for Gaussian fields over arbitrary bounded domains with piecewise continuous and differentiable boundaries, and as in earlier works the distribution function is tested against empirical distribution functions obtained by simulation of sample functions of a smooth approximately Gaussian field, herein called a broken line Hino field. For completeness this particular field type is defined in appendix a and appendix b. The paper concludes with a statistical application on data for plain concrete tensile strength.