Process monitoring method based on correlation variable classification and vine copula

Chemical processes are becoming increasingly complicated, leading to an increase in process variables and more complex relationships among them. The vine copula has a significant advantage in portraying the dependence of high-dimensional variables. However, as the dimensions increase, the vine copula model incurs a high computational load; such pressure greatly reduces model efficiency. Relationships among variables in the industrial process are complex. Different variables may be strongly or weakly associated or even independent. This paper proposes a process monitoring method based on correlation variable classification and vine copula. The weighted correlation measure is first used to divide variables into a correlated subspace and weakly correlated subspace. Then, two vine structures, C-vine and D-vine, are applied to the correlated and weakly correlated subspaces, respectively. This method takes advantage of C-vine for correlated variables and the flexibility of D-vine for weakly correlated variables. Finally, comprehensive statistics are established based on different subspaces. Monitoring results of the numerical system and the Tennessee Eastman process demonstrate the effectiveness and validity of the proposed method.     

计及预测误差动态相关性的多风电场联合出力不确定性模型

为实现对多风电场联合出力不确定性的精细化建模,提出了计及预测误差动态相关性的多风电场联合出力不确定性建模方法。首先,分析了同区域风电场的出力及出力预测误差动态相关性特征。进一步,针对此特征,引入高维动态藤Copula理论,建立了多风电场预测出力及预测误差的联合分布模型。最终,将以上模型与基于Copula函数的离散卷积法相结合,建立了计及预测误差动态相关性的多风电场联合出力不确定性模型,并以置信区间对多风电场联合出力不确定性进行了离散化表征。仿真结果表明,对比其他模型,所提模型拟合精度更高,拟合过程与预测方法解耦,灵活性更强。     

Role of glandular scales of lepidote rhododendrons in insect resistance

Glandular scales on selected lepidote rhododendron species varied in density from 109 ± 13 to 4180 ± 60/cm² of leaf surface. Globules contained within the scales stained with Sudan IV, a lipophilic dye. Essential oil contents of the scales varied with species from 24 ± 8 to 151 ± 35 ng/scale. Black vine weevil [(Otiorhynchus sulcatus (F.)] feeding on leaves from a sample of rhododendron species was inversely related to leaf essential oil content, and weevil feeding on membrane filters was inhibited by application of essential oil extracts from leaves of most lepidote rhododendrons tested. Results suggest that the glandular scales of the lepidote rhododendrons function, at least in part, in plant defense against insects.Mention of a trade name or proprietary product does not constitute an endorsement by the U.S. Department of Agriculture, Agriculture Research Service.     

显齿蛇葡萄叶细胞悬浮培养体系的建立及其产多酚类物质研究

显齿蛇葡萄叶富含多酚类化合物,是一种具有很高开发利用价值的新资源食品原料。以显齿蛇葡萄幼叶为外植体诱导出了2种典型的愈伤组织,通过激素优化和连续筛选获得了性状优良的愈伤组织,在此基础上建立并优化了显齿蛇葡萄叶细胞悬浮培养体系,对悬浮培养细胞中的主要多酚类物质进行了鉴定,并评价了多酚的抗氧化活性。采用超高压液相色谱飞行时间质谱 (UPLC-Q-TOF MS/MS)和高效液相色谱 (HLPC)检测技术,分别从愈伤组织和悬浮培养细胞中鉴定出了7种和10种多酚类化合物,其中原花青素B1、(+)-儿茶素、表儿茶素没食子酸酯为愈伤组织和悬浮培养细胞中共有的物质,且含量较高,其中以表儿茶素没食子酸酯含量最高,在愈伤组织和悬浮培养细胞中分别达到了5020.965μg/g和1044.725μg/g。抗氧化活性评价结果显示,悬浮培养细胞多酚提取物具有很强的抗氧化活性,对2,2-联氮-二 (3-乙基-苯并噻唑-6-磺酸)二铵盐 (ABTS⁺)和2,2-联苯基-1-苦基肼基 (DPPH)自由基清除的IC₅₀分别为30.681μg/mL和3.685μg/mL,相同质量浓度下对DPPH自由基的清除和总还原能力均强于维生素C,其抗氧化能力主要源于表儿茶素没食子酸酯和(+)-儿茶素。希望研究可为显齿蛇葡萄细胞培养及其多酚类次生代谢产物的合成调控提供参考。     

基于混合藤Copula和ILHS的概率电压稳定评估算法

为了评估具备复杂相关性的风电、光伏出力对电力系统电压稳定的影响,提出一种基于混合藤Copula和继承拉丁超立方采样(Inherit Latin Hypercube Sampling, ILHS)的概率电压稳定评估(Probabilistic Voltage Stability Evaluation, PVSE)算法。基于模糊C均值聚类对实际电网中风速和光照数据进行场景划分,利用AD距离确定不同场景中的最优藤结构,建立基于混合藤Copula的概率输入模型。基于ILHS在概率输入模型上采样,根据收敛条件逐渐增加样本点直至PVSE收敛,在PVSE过程中不断重复使用之前生成的样本点及计算结果,进而大幅提升概率分析效率。基于IEEE118节点系统对所提算法的有效性进行验证,结果表明,所提算法能准确刻画风光数据的相关性,并大幅提升PVSE的计算精度和速度。