Measurement Problems in Optical Monitoring Systems

A probabilistic image model is proposed. According to the model, the noise of the boundaries has the principal effect on the precision with which the dimensions of optical monitoring objects are measured. Results of theoretical and experimental investigations of measurement precision are presented. An approach to the determination of monitoring reliability and the selection of the resolution of a machine vision system based on structural requirements is formulated.     

DXDK-70型包装机常见故障分析处理

我公司使用天津华特DXDK-70型包装机4台，在生产中出现的主要问题及解决方法作了详尽阐述，以供同行探讨。     

辊式拉拔模用于连续拉拔机组的新技术

针对进口连续拉拔机组，独创设计了可配套使用的二连式辊模，并首次很好地解决了惯用模在辊模后的安装问题，是一种很有前途的新技术。     

青霉素发酵过程的智能优化控制

本文在分析青霉素发酵补糖工艺的要求和存在的问题基础上,设计出智能控制算法,采用集散系统实现在线优化控制,经实际应用,效果明显。     

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。     

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。     

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.