基于最优解耦的鲁棒故障检测方法研究

系统地研究了线性系统在模型参数变动和存在外部扰动下的控制系统故障的鲁棒故障检测方法。分析了在与干扰信号不能完全解耦的情况下,如何设计残差信号使其对模型参数变化及噪声不敏感,而对故障敏感,由此得出了对未知输入具有鲁棒性的条件方程式,并基于最优解耦理论,通过矩阵的奇异值分解实现了最优解耦。在给出的仿真实例中,验证了该文提出方法的有效性。     

中温SOFC密封玻璃热稳定性研究

研究了一种热稳定性好的中温固体氧化物燃料电池密封玻璃. 研究表明, 此密封玻璃的热膨胀系数(室温～631℃)为9.8×10^-6/K, 与8YSZ电解质的热膨胀系数10.0×10^-6/K(室温～631℃)接近, 并且在700℃热处理300h后, 该密封玻璃的热膨胀系数几乎没有变化. 粘度实验表明, 玻璃在700℃下具有足够的刚性, 适合于运行温度在700℃左右SOFC的密封. 化学相容性的研究显示, 在700℃下与8YSZ反应300h后没有发现显著的界面反应.     

石墨镶嵌Co纳米晶的形成及其特性

用直流碳弧法在阳极石墨棒中加入金属Ｃｏ产生石墨镶嵌Ｃｏ纳米晶,研究在复合石墨棒中加入不同的Ｃｏ含量对石墨镶嵌Ｃｏ纳米晶的形貌、结构特性及晶粒尺寸分布的影响,探讨石墨镶嵌Ｃｏ纳米晶的形成原因及碳弧法中氦气压力和Ｃｏ含量对掺Ｃｏ阳极石墨棒所产生的碳灰的Ｃ６０／７０产率的影响。结果表明,复合阳极棒中的Ｃｏ含量决定了石墨镶嵌Ｃｏ纳米晶的数量和晶凿直径分布,碳弧法中的Ｈｅ气压力仍是影响掺Ｃｏ阳极棒所产生的碳     

IE理论在营业厅固网业务流程优化中的应用

针对营业厅固网业务服务流程繁琐、服务不及时、客户长时间排队等待的现状,基于工业工程(IE)理论,重新定义IE理论图表技术符号,应用“5W1H”提问技术分析现状,确定需要优化的项目;应用“ECRS”4大原则优化固网业务流程。以某市营业厅固网业务流程为例,优化后客户平均移动距离由69 m缩短至34 m、高峰期平均停留时间由58 min缩短至29 min,说明使用该方法优化固网业务流程效果明显。这对于提高客户满意度、提升服务质量和效率以及企业竞争实力具有指导作用。     

液压推移排矸架头的维护及改进

在总结近几年工作的基础上,对液压推移排矸架头的日常维护和保养作了分析总结,着重阐述其在实际应用过程中的不足之处,并有针对性地提出了进行改进的方法和建议,具有较强的实用价值和一定的借鉴意义。     

用磺化泥炭吸附铬(Ⅵ)的热力学特性研究

在静态条件下,研究了水溶液中磺化泥炭吸附铬(Ⅵ)的热力学特性,测定了不同温度下磺化,泥炭吸附铬(Ⅵ)的吸附等温线.结果表明,在稀溶液中磺化泥炭吸附铬(Ⅵ)基本符合Langmuir模型,由于磺化泥炭的微孔结构和表面存在含氧功能团的吸附中心,溶液中的铬(Ⅵ)主要以HCrO-4的形式被磺化泥炭吸附,导致水分子的脱附及H 的产生,从而使热力学函数△So增加.     

应用水化硅酸盐纳米粉体制备块体材料

以磨细生石灰和硅质原料的混合物为前驱物,采用动态水热合成方法制备了水化硅酸盐纳米粉体.借助SEM、TEM及氮吸附等测试方法,分析了制得的水化硅酸盐粉体的形貌、粒径和比表面积.将制得的水化硅酸盐纳米粉体压制成块状固体.采用正交设计方法研究了成型压力、水泥掺量、纤维掺量、聚合物掺量等因素对块体材料力学性能的影响.结果表明:由该粉体压制成的块体材料立即具有强度和耐水性,且表观密度低;成型压力是影响其力学性能最显著的因素.     

Distribution of heavy metals during pyrolysis of waste printed circuit boards

The volatilization behavior of Cu, Pb, Sn, Sb, Ni, Zn, Mn, Co, Cr, Cd during pyrolysis of waste printed circuit boards was investigated in a bench-scale fixed-bed pyrolysis system. It was found that volatility of heavy metals increases with operating temperature elevating, and bromine and vacuum have an obvious promoting effect on volatility of most of heavy metals. Over 99% weight of Cu and Ni are still remained in solid residue after pyrolysis, about 20% weight of Sb, Zn and Cd are transfered into liquid and gas during a pyrolysis process at 600 ℃, volatilization fractions of Pb, Sn, Mn, Co, Cr are less than 10% at the same conditions. The contents of heavy metals in liquid and gas products depend on not only volatility of metals, but also their initial contents in printed circuit boards, pyrolysis liquid and gas are primarily contaminated by Cu, Pb, Sn, Sb and Zn, their contents in liquid vary from 10^2 to 10^3 pg/mL, Mn, Co, Cr, Cd were detected only at very low level, less than 10 μg/mL.     

Observer-based H-infinity output feedback control with feedback gain and observer gain variations for Delta operator system

Considering that the controller feedback gain and the observer gain are of additive norm-bounded variations, a design method of observer-based H-infinity output feedback controller for uncertain Delta operator systems is proposed in this paper. A sufficient condition of such controllers is presented in linear matrix inequality （LMI） forms. A numerical example is then given to illustrate the effectiveness of this method, that is, the obtained controller guarantees the closed-loop system asymptotically stable and the expected H-infinity performance even if the controller feedback gain and the observer gain are varied.     

Clustering-based topical Web crawling using CFu-tree guided by link-context

Topical Web crawling is an established technique for domain-specific information retrieval. However, almost all the conventional topical Web crawlers focus on building crawlers using different classifiers, which needs a lot of labeled training data that is very difficult to label manually. This paper presents a novel approach called clustering-based topical Web crawling which is utilized to retrieve information on a specific domain based on link-context and does not require any labeled training data. In order to collect domain-specific content units, a novel hierarchical clustering method called bottom-up approach is used to illustrate the process of clustering where a new data structure, a linked list in combination with CFu-tree, is implemented to store cluster label, feature vector and content unit. During clustering, four metrics are presented. First, comparison variation （CV） is defined to judge whether the closest pair of clusters can be merged. Second, cluster impurity （CIP） evaluates the cluster error. Then, the precision and recall of clustering are also presented to evaluate the accuracy and comprehensive degree of the whole clustering process. Link-context extraction technique is used to expand the feature vector of anchor text which improves the clustering accuracy greatly. Experimental results show that the performance of our proposed method overcomes conventional focused Web crawlers both in Harvest rate and Target recall.