基于模拟退火的粒子群算法优化的二次回归在矿井通风机故障诊断中的应用

针对矿井通风机故障诊断过程中样本数据有限的特点,提出了一种经模拟退火的粒子群算法优化的二次回归诊断方法。将样本数据分为建模数据和测试数据,测试结果表明该方法具有适用性强、操作简单、精准度高,且无需太多样本数据等特点,值得推广。     

短程硝化-强化生物除磷序批式反应器处理畜禽养殖废水

畜禽养殖废水有机物水质水量变化大,有机物、氨氮与磷的浓度较高,直接排放会严重危害环境。通过构建厌氧-好氧序批式反应器（SBR）处理预酸化畜禽养殖废水,分析了不同进水负荷条件下反应器对污染物的去除性能和微生物群落结构的变化规律。结果表明：SBR反应器对高负荷进水中TN、PO^3-₄—P和COD的平均去除率可分别达到64.5%、97.5%和94.5%。反应器出现NH⁺₄—N和NO₂—N亚硝酸同时积累的短程硝化现象,这可能与高进水负荷对氨氧化菌和亚硝酸盐氧化菌的活性和种群的影响有关。与乙酸盐相比,以丙酸盐作碳源时污泥的强化生物除磷活性更高。随着进水负荷的增大,聚糖菌（GAOs）的相对丰度明显升高。四联球状菌（Tetrasphaera）为反应器中始终占优势的聚磷菌（PAOs）,对反应器除磷性能有重要贡献。在高有机负荷条件下,SBR内PAOs与GAOs之间不存在明显的底物竞争关系,系统脱氮除磷性能未受影响。     

Enzymatic production of alkyl esters through alcoholysis: A critical evaluation of lipases and alcohols

This paper focuses on a detailed evaluation of commercially available immobilized lipases and simple monohydric alcohols for the production of alkyl esters from sunflower oil by enzymatic alcoholysis. Six lipases were tested with seven alcohols, including straight and branched-chain primary and secondary alcohols. The reactions were conducted in a batch stirred reaction vessel using stoichiometric amounts of substrates under solvent-free conditions. Dramatic differences in alcoholysis performance were observed among the different lipases. For most of the alcohols, Novozym 435 produced the highest yield of FA alkyl esters, with yields well over 90% for methanol, absolute ethanol, and 1-propanol. Overall, 96% ethanol was the preferred alcohol for all lipases except Novozym 435, and ethanolysis reactions reached the maximal conversion efficiency. Increasing the water content in the system resulted in an increased degree of conversion for all lipases except Novozym 435. The secondary alcohol 2-propanol significantly reduced the alcoholysis reaction with all lipases; however, the branch-chain isobutanol was more advantageous than linear 1-butanol for Novozym 435, Lipozyme RMIM, and Lipase PS-C. Many commercial immobilized lipases are highly efficient and promising for the production of alkyl esters, offering high reaction yields and a simple operation process.     

α－SiC：H薄膜的热行为研究

采用射频反应溅射工艺沉积了α—SiC:H薄膜。利用微分扫描量热器(DSC)和差热分析仪(DTA)两种热分析方法确定了α—SiC:H薄膜的脱H过程和相转变温度，353．2℃脱Si—H和602．6℃脱C—H，并在1080℃相变结晶。在氨气流保护下的光热炉内进行热处理，Fourier红外光谱(FTIR)和反射谱的研究表明，400℃热处理后薄膜内的H含量急剧下降。高温热处理中的脱H过程有利于游离硅和游离碳的反应形成额外的Si—C键，促进薄膜致密，并能提高其在紫外部分的反射率，降低红外区域的反射率。热处理温度超过500℃，容易导致薄膜脱落。适当的退火工艺有利于拓展碳化硅薄膜在空间材料上的应用。     

间歇式聚丙烯装置产品熔体流动指数的控制

针对间歇式液相本体法聚丙烯装置的生产特点,根据实际生产经验,从原料、催化剂的选择与配方、升温操作、氢调、设备维护等对如何控制聚丙烯粉料熔体流动指数进行了分析。结果表明:只要控制得当,间歇式聚丙烯装置产品的熔体流动指数可以控制在(n±1.5)g/10min(n为预定值)的稳定范围。     

金属铝诱导法低温制备多晶硅薄膜

以氢气稀释的硅烷（SiH4）和硼烷（B2H6）为气源,利用等离子体增强化学气相沉积法（PECVD）制备出p型a-Si薄膜.采用铝诱导晶化技术对不同厚度的铝膜对a-Si薄膜晶化的影响进行了研究.实验中发现,铝膜溅射为10 s的非晶硅薄膜样品在450℃下退火10 min后,p型a-Si结构仍为非晶态,铝膜溅射为20 s的非晶硅薄膜在450℃下退火20 min后,p型a-Si薄膜开始晶化为polySi薄膜,并且铝膜厚度越厚,则a-Si薄膜晶化程度越强.     

ZW多产品间歇过程调度及在线调整

针对多产品间歇过程调度提出了分层递阶的Petri网建模方法，利用赋时Petri和Petri网的简化技术描述不同层次的生产问题，具有很强的模型描述能力。另外，在调度决策层可以方便地集成优化策略和在线调整算法，使问题求解更加灵活。     

A Truncated Sum of Processing‐Times–Based Learning Model for a Two‐Machine Flowshop Scheduling Problem

Scheduling with learning effects has gained increasing attention in recent years. A well‐known learning model is called “sum‐of‐processing‐times‐based learning” in which the actual processing time of a job is a nonincreasing function of the jobs already processed. However, the actual processing time of a given job drops to zero precipitously when the normal job processing times are large. Moreover, the concept of learning process is relatively unexplored in a flowshop environment. Motivated by these observations, this article addresses a two‐machine flowshop problem with a truncated learning effect. The objective is to find an optimal schedule to minimize the total completion time. First, a branch‐and‐bound algorithm incorporating with a dominance property and four lower bounds is developed to derive the optimal solution. Then three simulated annealing algorithms are also proposed for near‐optimal solution. The experimental results indicated that the branch‐and‐bound algorithm can solve instances up to 18 jobs, and the proposed simulated annealing algorithm performs well in item of CPU time and error percentage. © 2011 Wiley Periodicals, Inc.     

基于改进遗传模拟退火 K-means的心电波形的分类研究

针对心电图自动诊断困难这一问题,提出了一种新的聚类算法：基于均方差属性加权的遗传模拟退火K-means改进聚类算法,用于改进心电图（ECG）信号的自动识别技术。利用小波变换的多分辨率和抗干扰能力好的特点,检测QRS波、P波、T波,提高了特征检测的准确性;利用聚类分析具有较好的鲁棒性和适合于大数据量分析的特点,对心电信号进行波形分类。采用MIT-BIH标准心电数据库中的部分数据对识别结果进行判断,改进后的K-means聚类算法的准确率高于传统的K-means聚类算法,实验表明该算法对心电信号可以进行有效分类。