LMG200型可调高滚筒式露天采煤机

介绍了可调高滚筒式露天采煤机的结构特点及在露天煤矿应用所产生的效益和其广 阔的发展前景。     

冷媒充填机的PLC控制

介绍了冷媒充填机控制系统的组成和工作原理，着重叙述了西门子S7－200可编程控制器与触摸屏结合的控制方式，使系统的性能得到较大的提高。     

烟气轮机特殊状态下的保护

从烟气轮机超速的极限开始 ,分别按照阀门的关闭时间为 1 .5s和 6s的两种典型状态 ,对烟机在联轴节断裂等特殊工况下的超速情况进行了分析。最后 ,对烟气轮机在特殊工况下的保护提出了建议。     

线切割加工轧辊孔型模板提高精度的方法

详细论述了利用线切割机加轧辊孔型模板中易出现的几种影响加工精度的因素及消除方法，以达到提高模板精度。     

数控机床逐点比较法插补直线分析

通过分析四方向逐点比较法的基本原理及基本特点说明其插补精度比较低的原因,提出提高插补精度的方法——八方向逐点比较插补法。     

SO2转化温度异常情况分析

结合凤山实业总公司硫酸车间 SO2 转化系统的具体工艺流程 ,分析近几年转化系统出现温度不正常的原因 ,提出解决方法     

胜利原油350～510℃馏分糠醛精制的研究

对胜利原油 350～ 510℃馏分每 4 0℃切割一种馏分进行糠醛精制 ,考察了实验室条件下不同温度、不同醛油比条件下精制对提余油质量和收率的影响。采用醛油比 3× 1∶1,抽提温度在 70～ 95℃ ,可使精制馏分油粘度指数提高 10～ 2 7个单位 ,精制油收率高于 70 %。     

A robust adaptive pole‐placement controller without strictly positive real condition

This paper considers the adaptive pole‐placement control problem for system (1) with unmodelled dynamics η_n dominated by a small constant ε multiplied by a quantity independent of ε but tending to infinity as the past input, output, and noise grow. Using bounded external excitation and randomly varying truncation techniques, we give a design method of adaptive pole‐placement controller. It is shown that the closed‐loop system is globally stable, the estimation error for the parameter contained in the modelled part is of order ε, and the closed‐loop system under the adaptive pole‐placement control law is suboptimal in the sense of $$\mathop{\lim\sup}\limits_{{n\to\infty }}{1\over n}\mathop{\sum}\limits_{i=0}^n{\left({A^{*}(z)y_{n}‐L(z)C(z)w_{n}‐B(z)R(z)y_{n}^{*}}\right)^{2}{\leq}O({\varepsilon}^{2})+\gamma^{2}\mathop{\sum}\limits_{j=1}^q{b_{j}^{2}}}$$\nopagenumbers\end while the SPR condition used usually in other papers is replaced by a stability condition. Copyright © 2001 John Wiley & Sons, Ltd.     

钻机柴油机的动向和190系列柴油机的发展

本文概括介绍了国内外钻机柴油机发展的水平及动向,比较了国内钻机柴油机与国外钻机柴油机在发展上的差距。重点介绍了作为国产钻机主要动力的190系列柴油机的发展状况及最新技术在该机型上的应用。     

FILIP: A fuzzy intelligent information system with learning capabilities

FILIP (fuzzy intelligent learning information processing) system is designed with the goal to model human information processing. The issues addressed are uncertain knowledge representation and approximate reasoning based on fuzzy set theory, and knowledge acquisition by “being told” or by “learning from examples”. Concepts that can be “learned” by the system can be imprecise (fuzzy), or the knowledge can be incomplete. In the latter case, FILIP uses the concept of similarity to extrapolate the knowledge to cases that were not covered by examples provided by the user. Concepts are stored in the Knowledge Base and employed in intelligent query processing, based on flexible inference that supports approximate matches between the data in the database and the query.

The architecture of FILIP is discussed, the learning algorithm is described, and examples of the system's performance in the knowledge acquisition and querying modes, together with its explanatory capabilities are shown.