PLS-based EWMA fault detection strategy for process monitoring

Fault detection (FD) and diagnosis in industrial processes is essential to ensure process safety and maintain product quality. Partial least squares (PLS) has been used successfully in process monitoring because it can effectively deal with highly correlated process variables. However, the conventional PLS-based detection metrics, such as the Hotelling's T² and the Q statistics are ill suited to detect small faults because they only use information from the most recent observations. Other univariate statistical monitoring methods, such as the exponentially weighted moving average (EWMA) control scheme, has shown better abilities to detect small faults. However, EWMA can only be used to monitor single variables. Therefore, the main objective of this paper is to combine the advantages of the univariate EWMA and PLS methods to enhance their performances and widen their applicability in practice. The performance of the proposed PLS-based EWMA FD method was compared with that of the conventional PLS FD method through two simulated examples, one using synthetic data and the other using simulated distillation column data. The simulation results clearly show the effectiveness of the proposed method over the conventional PLS, especially in the presence of faults with small magnitudes.     

Food aid and food crisis in Sub-Saharan Africa: Statistical trends and implications*

This paper documents the rapid expansion and changes in food aid flows to Sub-Saharan Africa up to mid-1985. Trends for Sub-Saharan Africa as a whole and for the more seriously affected countries are examined, as are the comparative experiences of food aid of individual countries in the region. Table 11 lists the Sub-Saharan African countries and indicates the most seriously affected food-short countries, as defined by the WFP/FAO task force. It should be borne in mind that some practical problems exist in compiling data on food aid. These include lack of availability of reliable data, especially of most recent data; lack of common terminology and definitions; and different accounting systems. These data problems are sometimes a source of confusion. However, the basic facts are clear: food aid gradually emerged during the early 1980s as a resource too often of considerable significance to many countries of Sub-Saharan Africa. These trends were only accelerated with the crisis of 1984-1985. These facts provide a point of reference for further analysis of the sources of the crisis, its actual dimensions and consequences.     

污染物在地下水毛细饱水带的运移规律浅释

分析了毛细饱水带的水动力学特性，指出在地下水污染研究中，污染物在毛细饱和水带和潜水怪具有相同的水平运动规律，并以实例分析说明该带对污染物运移的重要性。建议在研究和一非饱和条件地下水及污染物运动问题时把毛细饱水带与潜水含水层统一为饱马毛细饱水带顶面作为饱水面。     

上海地区二氧化硫浓度和风速的统计关系

应用上海市1986年6月至1987年5月间5个自动监测站的全年每日逐时SO_2浓度平均值和同步的风速平均值资料,按季进行比较、归纳,得到风速—SO_2浓度的诊断判据,并利用1984年全年的相应资料进行验证,准确率达85％;得到了各季浓度—风速的回归方程,和浓度—风速、温差的二元回归方程、复相关系数。     

饮用水中亚硝酸盐及微量元素对癌症发病率的影响研究

从环境地理学和环境化学的角度出发，研究了饮用水中亚硝酸盐以及微量元素的分布与癌症发病率的关系。在对江苏省如皋地区饮用水水样检测的基础上，指出研究区的饮用水中虽然亚硝酸盐严重超标，但是并没有与癌．症发病率形成相关性。同时运用方差分析方法时饮用水中的微量元素进行研究，选出了若干种与如皋地区的癌症发病率存在很强相关性的微量元素，并讨论了这些元素的分布特征与癌症发病率的具体关系。     

应用被动扩散管监测分析葫芦岛市环境空气NO2时空分布特征

被动扩散技术以其低成本、操作简单、空间覆盖率较高等优点已在西方国家广泛应用于环境空气质量监测与调查,辽宁省环保局通过欧盟项目引进,本技术在葫芦岛市环境空气质量监测应用有4年时间.依据4年环境空气被动扩散管监测基础数据,分析了解葫芦岛市城区大气中NO2时空分布特征:高浓度值出现在交通区,季节上呈现春季明显低于其它季节.     

水质特性和NOM在臭氧氧化和PAC吸附去除MIB、GEOSMIN上的作用

介绍了臭氧氧化、活性炭吸附去除MIB、GEOSMIN时的主要影响因素，分析了各因素对去除率的影响程度及原因。还介绍了臭氧、PAC去除痕量异味物质的机理。     

某地下厂房围岩岩体结构特征分析

水电站地下厂房的围岩稳定性的影响因素很多,围岩的岩体结构特征就是其中的一种。因此,研究地下硐室的岩体结构特征,对评价地下硐室的围岩稳定性是很有帮助的。本文主要是根据对某水电站地下厂房拟建区平硐的现场调查,用统计的方法对调查资料进行分析,并最终找出该区岩体的结构特征,为研究地下硐室的围岩稳定性提供可靠的基础资料。     

昆明西山土壤—植物系统Fe,Mn,Ni分布特征

本文利用统计分析和吸收系数描述了昆明西山土壤－植物系统中Ｆｅ，Ｍｎ，Ｎｉ分布特征。结果表明，受试植物在土壤－植物系统中对Ｎｉ元素均表现出相对的稀释和绥冲作用；对Ｍｎ元素，除了菊科夏田菊，山紫金子和牛旁外，均表现出相对富集作用。     

应用被动扩散管监测分析葫芦岛市环境空气NO2时空分布特征

被动扩散技术以其低成本、操作简单、空间覆盖率较高等优点已在西方国家广泛应用于环境空气质量监测与调查，辽宁省环保局通过欧盟项目引进，本技术在葫芦岛市环境空气质量监测应用有4年时间。依据4年环境空气被动扩散管监测基础数据，分析了解葫芦岛市城区大气中NO2时空分布特征：高浓度值出现在交通区，季节上呈现春季明显低于其它季节。