一种改进的CSCA+PCA化工过程异常检测技术

为了解决化工过程异常检测时因参数众多且数据庞杂而导致一些异常无法被有效检出的问题,在Brownlee的克隆选择分类算法（CSCA）基础上,通过引入主成分分析（PCA）技术,进行数据降维和数据重整,探讨了人工免疫算法在化工过程异常检测中的适用效果和技术方案,以TE过程数据作为样本进行异常检测和分类实验。结果表明,过程异常数据的规模、属性的数目对CSCA异常检测效果具有明显影响,而通过主成分分析进行数据降维之后,CSCA检测效果有所提高;进一步的数据重整之后,CSCA对过程异常分类辨识的准确率可提升到85%以上;基于CSCA+PCA的数据降维及重构之后的过程异常检测技术方案,可以获得较高的异常检测准确率,从而一定程度上为化工过程安全运行提供技术保障。     

小波变换理论在炸药装药安全性检验中的应用

工业CT探测炸药时,存在的严重噪声使得信号难以识别,严重影响了炸药探测的可靠度和精确度.为提高工业CT探测炸药的信噪比和可靠性,利用小波变换的方法降低信号噪声以实现有效的炸药探测.结果显示,小波变换可以实际地进行工业CT探测炸药得到的信号的分析,能有效地抑制噪声和提高信噪比,并且利用小波变换可以检测出药柱的裂纹以及裂纹的位置.     

冷变形和溶解氧对308L不锈钢焊材应力腐蚀开裂的影响规律

目的 探究冷变形和溶解氧(DO)对308L不锈钢焊材在高温高压水环境中应力腐蚀开裂(SCC)行为的影响规律.方法 采用直流电压降法对308L试样裂纹扩展速率(CGR)进行在线测量,对比原始态、冷变形态308L焊材在DO和氢气除氧两种水环境中的SCC性能.参照F-A模型,结合冷变形前后材料微观组织和试样的断口形貌及裂纹扩...     

磁性粒子/介孔碳的合成及其吸附性能

以介孔分子筛SBA-15为模板,采用三氯化铁和蔗糖同步浇铸的方法,利用纳米刻蚀技术合成了Fe-Fe3O4磁性纳米粒子/介孔碳复合体(简称磁性粒子/介孔碳)。XRD分析和高分辨透射电子显微镜表征结果表明,磁性粒子/介孔碳中含有强磁性粒子——Fe3O4和α-Fe。在初始罗丹明B质量浓度为200 mg/L的溶液中加入于碳化温度为800 oC下制得的磁性粒子/介孔碳1 mg/L,吸附190 min后,平衡吸附量为329 mg/g。吸附后的磁性粒子/介孔碳在乙醇中的脱附率可达93.7%。通过外加磁场可将吸附后的磁性粒子/介孔碳与溶液分离。     

A Method for Designing Detection Monitoring Networks in Layered Aquifers with Non-uniform Flow

An integer programming method was devised to locate detection monitoring wells in layered aquifers. The method is applicable to aquifers with non-uniform groundwater flow, and it does not require that a compliance boundary be linear or perpendicular to the direction(s) of groundwater flow. In each layer, monitoring sites are defined along curvilinear transects that parallel equipotential lines. The model can be formulated to allocate wells to the transect with the highest detection efficiency, or to establish multiple lines of defense against contaminant migrating to a compliance boundary. Detection efficiencies of alternative monitoring transects are calculated from parameters obtained via numerical modeling of contaminant transport. These parameters include the narrowest plume that could traverse a monitoring transect, and the zone width of potential contaminant migration at the transect. Problem formulations are compact, and computational requirements are low relative to alternative approaches for designing detection monitoring networks in aquifers. An application to a glacial outwash aquifer demonstrates the utility of the method.     

HPF(高通数字滤波器)的电网谐波检测技术的研究与应用

为有效地消除电力谐波污染、确保电网运行安全,必须采用有源电力滤波技术;为改善有源电力滤波器的性能,必须采取先进的谐波检测方法、高效的逆变技术。笔者在研究有源电力滤波技术的基础上,对有源电力滤波的关键技术即谐波检测与分离技术,进行了探讨和深入研究,给出了一种HPF(高通数字滤波器)的谐波检测与分离方法,进行了理论验算,利用MATLAB仿真结果对该检测技术进行实验研究。仿真和实验结果表明:该法比常用的LPF(低通数字滤波器LowPassDigitalFilter)的谐波检测分离方法具有更好的检测实时性;在电网电压有畸变时也能达到很高的检测精度;该检测技术应用于混合有源电力滤波器后能大大改善滤波性能。     

烟气微细粒子高效控制技术

随着环保标准的严格化，烟气微细粒子的控制日益受到重视。袋式除尘器和电除尘器是未来控制烟气微细粒子的主要除尘设备；空气动力和静电力结合的多机理复合除尘器也将成为一个发展方向；凝并技术的应用，能有效地控制亚微粒子；磁力除尘技术的开发，将使细微粒子的收集更为节能高效。     

USING UNCENSORED TRACE-LEVEL MEASUREMENTS TO DETECT TRENDS IN GROUND WATER CONTAMINATION1

ABSTRACT: Environmental decision making involving trace-levels of contaminants can be complicated by censoring, the practice of reporting concentrations either as less than the limit of detection (LOD) or as not detected (ND) when a test result is less than the LOD. Censoring can result in data series that are difficult to meaningfully summarize, graph, and analyze through traditional statistical methods. In spite of the relatively large measurement errors associated with test results below the LOD, simple and meaningful analyses can be carried out that provide valuable information not available if data are censored. For example, an indication of increasing levels of contamination at the fringe of a plume can act as an early warning signal to trigger further study, an increased sampling frequency, or a higher level of remediation at the source. This paper involves the application of nonparametric trend analyses to uncensored trace-level groundwater monitoring data collected between March 1991 and August 1994 on dissolved arsenic and chromium for seven wells at an industrial site in New York.