树障、鸟窝、异物等引起河北南网农网10 k V配电线路频繁跳闸,严重威胁农网的安全经济运行。在对三类原因详细分析的基础上,提出利用卡扣式硅橡胶绝缘护套有针对性地进行线路的局部绝缘化防护。首先,阐述了卡扣式硅橡胶绝缘护套的特性;...树障、鸟窝、异物等引起河北南网农网10 k V配电线路频繁跳闸,严重威胁农网的安全经济运行。在对三类原因详细分析的基础上,提出利用卡扣式硅橡胶绝缘护套有针对性地进行线路的局部绝缘化防护。首先,阐述了卡扣式硅橡胶绝缘护套的特性;然后提出了线路局部绝缘化防树障、杆塔局部绝缘化防鸟害、配变局部绝缘化防异物的具体防护策略;最后对农网10 k V配电线路局部绝缘化防护的适用条件进行了分析。示范应用结果表明了该方法的有效性。展开更多
The growing interest of the pharmaceutical industry in Near Infrared-Chemical Imaging (NIR-CI) is a result of its high usefulness for quality control analyses of drugs throughout their production process (particularly...The growing interest of the pharmaceutical industry in Near Infrared-Chemical Imaging (NIR-CI) is a result of its high usefulness for quality control analyses of drugs throughout their production process (particularly of its non-destructive nature and expeditious data acquisition).In this work,the concentration and distribution of the major and minor components of pharmaceutical tablets are determined and the spatial distribution from the internal and external sides has been obtained.In addition,the same NIR-CI allowed the coating thickness and its surface distribution to be quantified.Images were processed to extract the target data and calibration models constructed using the Partial Least Squares (PLS) algorithms.The concentrations of Active Pharmaceutical Ingredient (API) and excipients obtained for uncoated cores were essentially identical to the nominal values of the pharmaceutical formulation.But the predictive ability of the calibration models applied to the coated tablets decreased as the coating thickness increased.展开更多
文摘树障、鸟窝、异物等引起河北南网农网10 k V配电线路频繁跳闸,严重威胁农网的安全经济运行。在对三类原因详细分析的基础上,提出利用卡扣式硅橡胶绝缘护套有针对性地进行线路的局部绝缘化防护。首先,阐述了卡扣式硅橡胶绝缘护套的特性;然后提出了线路局部绝缘化防树障、杆塔局部绝缘化防鸟害、配变局部绝缘化防异物的具体防护策略;最后对农网10 k V配电线路局部绝缘化防护的适用条件进行了分析。示范应用结果表明了该方法的有效性。
基金Spain’s MICINN for funding this research within the framework of Project CTQ2009-08312
文摘The growing interest of the pharmaceutical industry in Near Infrared-Chemical Imaging (NIR-CI) is a result of its high usefulness for quality control analyses of drugs throughout their production process (particularly of its non-destructive nature and expeditious data acquisition).In this work,the concentration and distribution of the major and minor components of pharmaceutical tablets are determined and the spatial distribution from the internal and external sides has been obtained.In addition,the same NIR-CI allowed the coating thickness and its surface distribution to be quantified.Images were processed to extract the target data and calibration models constructed using the Partial Least Squares (PLS) algorithms.The concentrations of Active Pharmaceutical Ingredient (API) and excipients obtained for uncoated cores were essentially identical to the nominal values of the pharmaceutical formulation.But the predictive ability of the calibration models applied to the coated tablets decreased as the coating thickness increased.
