A Novel Method for Pattern Recognition of GIS Partial Discharge via Multi-Information Ensemble Learning

Partial discharge (PD) is the main feature that effectively reflects the internal insulation defects of gas-insulated switchgear (GIS). It is of great significance to diagnose the types of insulation faults by recognizing PD to ensure the normal operation of GIS. However, the traditional diagnosis method based on single feature information analysis has a low recognition accuracy of PD, and there are great differences in the diagnosis effect of various insulation defects. To make the most of the rich insulation state information contained in PD, we propose a novel multi-information ensemble learning for PD pattern recognition. First, the ultra-high frequency and ultrasonic data of PD under four typical defects of GIS are obtained through experiment. Then the deep residual convolution neural network is used to automatically extract discriminative features. Finally, multi-information ensemble learning is used to classify PD types at the decision level, which can complement the shortcomings of the independent recognition of the two types of feature information and has higher accuracy and reliability. Experiments show that the accuracy of the proposed method can reach 97.500%, which greatly improves the diagnosis accuracy of various insulation defects.     

Packed-Fiber Solid Phase-Extraction Coupled with HPLC-MS/MS for Rapid Determination of Lipid Oxidative Damage Biomarker 8-Iso-Prostaglandin F2α in Urine

The 8-iso-prostaglandin F_2α (8-iso-PGF_2α) biomarker is used as the gold standard for tracing lipid oxidative stress in vivo. The analysis of urinary 8-iso-PGF_2α is challenging when dealing with trace amounts of 8-iso-PGF_2α and the complexity of urine matrixes. A packed-fiber solid-phase extraction (PFSPE)–coupled with HPLC-MS/MS–method, based on polystyrene (PS)-electrospun nanofibers, was developed for the specific determination of 8-iso-PGF_2α in urine and compared with other newly developed LC-MS/MS methods. The method, which simultaneously processed 12 samples within 5 min on a self-made semi-automatic array solid-phase extraction processor, was the first to introduce PS-electrospun nanofibers as an adsorbent for the extraction of 8-iso-PGF_2α and was successfully applied to real urine samples. After optimizing the PFSPE conditions, good linearity in the range of 0.05–5 ng/mL with R² > 0.9996 and a satisfactory limit of detection of 0.015 ng/mL were obtained, with good intraday and interday precision (RSD < 10%) and recoveries of 95.3–103.8%. This feasible method is expected to be used for the batch quantitative analysis of urinary 8-iso-PGF_2α.     

Precise electro-reduction of alkyl halides for radical defluorinative alkylation

Reported here is a precise electro-reduction strategy for radical defluorinative alkylation towards the synthesis of gem-difluoroalkenes from α-trifluoromethylstyrenes. According to the redox-potential difference of the radical precursors, direct or indirect electrolysis is respectively adopted to realize the precise reduction. An easy-to-handle, catalyst-and metal-free condition is developed for the reduction of alkyl radical precursors that are generally easier to be reduced than α-trifluorome...     

DUAL RECIPROCITY HYBRID BOUNDARY NODE METHOD FOR THREE-DIMENSIONAL ELASTICITY WITH BODY FORCE

Combining Dual Reciprocity Method （DRM） with Hybrid Boundary Node Method （HBNM）, the Dual Reciprocity Hybrid Boundary Node Method （DRHBNM） is developed for three-dimensional linear elasticity problems with body force. This method can be used to solve the elasticity problems with body force without domain integral, which is inevitable by HBNM. To demonstrate the versatility and the fast convergence of this method, some numerical examples of 3-D elasticity problems with body forces are examined. The computational results show that the present method is effective and can be widely applied in solving practical engineering problems.     

PVC/MBS/纳米 BaSO4 复合材料的制备及其性能

采用熔融共混法制备聚氯乙烯(PVC)/甲基丙烯酸甲酯-丁二烯-苯乙烯共聚物(MBS)/纳米重晶石(nano-BaSO4)三元复合材料,考察其力学性能和热稳定性能,并用扫描电镜观察冲击断面的形态.结果表明:MBS 与 nano-BaSO4 可协同增韧 PVC;当 MBS、nano-BaSO4 的含量分别为 10%、1%时,材料的韧性和刚性可同时得以改善,其冲击断面表现出典型的韧性断裂特征;热重分析显示添加 1%nano-BaSO4 可显著提高 PVC/MBS 的热稳定性能,其第一降解阶段的初始分解温度和最快分解温度分别提高了 10℃和14℃.     

水杨酸甲酯在β-环糊精水溶液中的双重荧光光谱

研究了β-环糊精(β-CD)及其衍生物甲基-β-环糊精(M-β-CD)、羟丙基-β-环糊精(HP-β-CD)对水杨酸甲酯(MS)双重荧光光谱的影响,并将其与MS在不同溶剂中的荧光光谱进行对比。结果表明,MS的双重荧光与所处微环境的氢键性质密切相关,β-CD取代基的大小会导致空腔口处的极性和空间位阻不同,相应改变了分子间氢键相互作用,当MS分子进入β-CDs空腔时会引起其基态互变异构体之间平衡的移动,从而导致光谱的变化。包合物稳定常数测定表明,三种β-CDs对MS包合能力的大小为M-β-CD>HP-β-CD>β-CD。     

高效液相色谱法同时测定饮料中苯甲酸和山梨酸

探讨了同时测定饮品中苯甲酸、山梨酸的分析方法.采用高效液相色谱(HPLC)法分离和检测样品中苯甲酸、山梨酸.将样品除去CO2后,用氨水调节pH=7,滤膜过滤.外标法定量,检测饮料中苯甲酸、山梨酸含量.苯甲酸、山梨酸校准曲线线性范围为0.5-20.0μg/mL,r分别为0.9985和0.9990.检出限分别为0.44μg/mL,和0.32μg/mL,回收率76.3%-105.4%,相对标准偏差(RSD)1.27%-7.67%.使用高效液相色谱法同时测定饮料中苯甲酸山梨酸的方法准确,灵敏,达到了实验方法的要求.     

水样中溶解氧、化学需氧量、生物耗氧量的测定注意事项

探讨了水样中溶解,化学需氧量,生物耗氧量的测定注意事项,以及三者的关系.     

四磺基酞菁钴合成及其与牛血清白蛋白结合作用的研究

以高锰酸钾降解薛氏钠盐(6-羟基-β-萘磺酸钠)合成4-磺基邻苯二甲酸,并以此为原料“固相熔融法”合成了四磺基酞菁钴(CoPcS₄)。CoPcS₄在DMSO中发生解聚,随着pH值的升高,解聚增加。CoPcS₄以二聚体形式与牛血清白蛋白(BSA)结合后具有更强的光敏活性。分别采用紫外和荧光光谱分析方法准确测定了四磺基酞菁钴与BSA的结合位置数和结合常数。两种方法的结果基本一致,数量级皆为105 L·mol-1。CoPcS₄与BSA的首要结合位置为SiteⅠ和SiteⅡ,两种结合位置的结合能力差别不大。结果表明,CoPcS₄可与牛血清白蛋白很好地结合,白蛋白起到存储与转运作用。     

四氨羰甲基对-叔丁基杯[4]芳烃的合成及聚集行为

对-叔丁基杯[4]芳烃与溴乙酸乙酯反应,得到锥式、1,2-交替、1,3-交替和部分锥式构象的四取代衍生物;将锥式、1,2-交替和1,3-交替构象的四乙酸乙酯取代衍生物在氨的甲醇溶液中进行氨解得到相应的酰胺产物.通过核磁研究比较了氨解产物的自聚集情况.锥式构象四氨羰甲基对-叔丁基杯[4]芳烃分子在氯仿溶剂中的分子间作用力很弱,容易溶剂化,溶剂中核磁谱图不能观察到分子聚集;而1,2-交替构象的四氨羰甲基对-叔丁基杯[4]芳烃分子间存在相当强的作用力,在氯仿中的溶解性较差,核磁谱图表明分子在氯仿溶剂中有分子聚集的现象.1,3-交替构象的四氨羰甲基对-叔丁基杯[4]芳烃分子可以形成一定的聚集体,在高浓度时是聚集体的形式;在浓度较低或者加入酸予以破坏时,溶液中是以单体的形式存在.