A model for preventive maintenance operations and forecasting

Equipment costs constitute the greatest majority of overall costs for semiconductor manufacturing. Therefore, maintaining high equipment availability has been regarded as one of the major goals in the industry. The ability to forecast correctly equipment preventive maintenance (PM) timing requirements not only can help optimizing equipment uptime but also minimizing negative impacts on manufacturing production efficiency. This research used grey theory and evaluation diagnosis to construct a PM forecasting model for prediction of PM timing of various machines. The results showed significant improvements of PM timing predictions compared to the existing method based on experience and an alternative method proposed by Li and Chang (Semiconductor Manufacturing Technology Workshop 2002: 10–11, pp. 275–277) for the same fab cases. Received: June 2005 / Accepted: December 2005     

平差法预计矿区导线网精度

分析了矿区导线网精度预计经典方法存在的问题 ,推导出严密平差法精度预计的数学模型 ,并编制机算程序。     

马尔可夫链在企业经济预测上的应用

为了科学的预测企业所关心的各项经济指标 ,以便为企业的未来做出正确的决策方案 ,需用适当的数学模型和方法对企业的经济活动进行定量的研究 .基于经济活动的复杂、多变性及带有许多随机性因素的特点 ,针对这两种常见的经济问题 ,分别建立了相应的马尔可夫链模型 .应用马尔可夫链的相关理论、巧妙的构造转移概率矩阵 ,只通过简单的矩阵运算 ,便迅速解决问题 .实例表明 ,马尔可夫链模型及方法在企业经济活动分析中是可行和适用的 ,可广泛用于解决企业中常见的预测及决策问题 .     

Characterization of dynamic behavior of a spout-fluid bed with Shannon entropy analysis

Differential pressure fluctuation time series were obtained at different locations in a two-dimensional spout-fluid bed with a cross section of 300 × 30 mm and height 2000 mm. Shannon entropy analysis of differential pressure fluctuations was developed to characterize the dynamic behavior. Effects of two important operating parameters (spouting gas velocity and fluidizing gas flow rate) on the Shannon entropy were examined. It was demonstrated that a spout-fluid bed at a high spouting gas velocity or fluidizing gas flow rate was a deterministic chaos system since the Shannon entropies at all bed locations increased sharply and asymmetric unstable flows occurred. Shannon entropies were found to be significantly different at various bed locations. Shannon entropies of different flow regimes were distinct, so they were used to identify the flow regimes. The results show that the Shannon entropy helps to grasp the complex characteristics of dynamic behavior in spout-fluid beds.     

建立气井产能方程及计算地层压力的新方法

气井产量取决于井底流动压力，所以气井产能方程应该能够直接描述流压与产量的关系。文中基于气井二项式产能方程，提出了可以直接反映流压与产量之间关系的二元回归形式的产能方程模型。介绍了该模型的基本原理并进行了实例分析。该模型可以预测地层压力。     

基于神经网络的降雨径流预报

本文将人工神经网络应用于二滩水电站以上支流鱼河的降雨径流预报，通过建模、计算、比较和分析可知，其非线性映射能力、自学习能力和灵活性，均能较好地反映降雨径流之间的非线性的、复杂的转换关系，结合流域水文特性并合理处理建模数据，值得进一步深入研究。     

洪水预报调度决策系统在抗击台风中的作用

洪水预报调度决策系统近年来在全国各地得到广泛的应用。简单介绍了洪水预报系统的系统组成及功能,分析了系统在抗击台风过程中的作用与效益,总结了系统多年的运行和维护经验。根据多年的运行经验,系统能及时提供雨、水情数据和高效的调度会商决策,提高防御台风、突发性暴雨等自然灾害的能力。     

试谈配料方案与质量预测的优化

主要探讨了以理论推算为主，根据物料成分建立不同配比方案，再以实践累积经验为辅组建系统配料方案。此系统方案的建立，克服了烧结原料品种变换频繁带来的质量波动，稳定了混匀料和烧结矿的化学成分。     

单桩腿有限元分析

为保证桩腿在冬季冰区海域的安全使用,对桩腿结构进行冰载荷作用下的强度分析。应用ANSYS软件建立桩腿、地基、冰相互作用的仿真计算模型,实现桩腿的力学分析。对桩腿进行了强度校核,计算出冰载荷作用下桩腿的变形及其应力状态。计算结果表明,桩腿在此冰载荷作用下强度满足安全要求。     

Satellite SAR Remote Sensing of Great Lakes Ice Cover,Part 2. Ice Classification and Mapping

During the 1997 winter season, shipborne polarimetric backscatter measurements of Great Lakes (freshwater) ice types using the Jet Propulsion Laboratory C-band scatterometer, together with surface-based ice physical characterization measurements and environmental parameters, were acquired concurrently with Earth Resource Satellite 2 (ERS-2) and RADARSAT Synthetic Aperture Radar (SAR) data. This polarimetric data set, composed of over 20 variations of different ice types measured at incident angles from 0° to 60° for all polarizations, was processed to radar cross-section to establish a library of signatures (look-up table) for different ice types. The library is used in the computer classification of calibrated satellite SAR data. Computer analysis of ERS-2 and RADARSAT ScanSAR images of Great Lakes ice cover using a supervised classification technique indicates that different ice types in the ice cover can be identified and mapped, and that wind speed and direction can have an influence on the classification of water as ice based on single frequency, single polarization data. Once satellite SAR data are classified into ice types, the ice map provides important and necessary input for environmental protection and management, ice control and ice breaking operations, and ice forecasting and modeling efforts.