泵供液式冷风机性能模拟与实验研究

本文建立了不同流程分布的冷风机模型,对各流程分布冷风机性能进行了模拟研究;采用泵供液式制冷量测试法,对以R717为工质的最优流程分布冷风机进行了性能测试。研究表明,单排管双流程布管方式能够使冷风机的性能最优;存在使冷风机制冷量最大的泵送比,在蒸发温度-25℃工况下,当泵送比为3.5时,冷风机的制冷量最大,为44.3 k W;随着蒸发温度的升高,冷风机的传热系数逐渐增大,当蒸发温度为-25℃时,传热系数为27.4 W/(m~2·K),当蒸发温度为0℃时,传热系数为34.4W/(m~2·K),提高了25.5%;随着蒸发温度的升高,冷风机的制冷量逐渐增大,当蒸发温度为-25℃时,制冷量为44.3 k W,当蒸发温度为0℃时,制冷量为64.3 k W,增大了45.15%。采用泵供液式制冷量测试法,测得在不同实验工况下,冷风机制冷量实验值比模拟值低5%左右,验证了冷风机模型的正确性。     

On the performance of different capability indices under normal and non-normal distributions

In this article, we have examined the performance of some useful capability indices using normal and non-normal distributions. The confidence intervals are calculated and mean coverage rates are observed for different capability indices. The effects of symmetry and kurtosis of parent distributions are examined on the mean coverage rates of different capability indices. Moreover, we have investigated the robustness (of confidence interval) using the median and percentile-based indices. We have considered the well-known distributions including normal, gamma, t, Weibull, and chi-squared. For these process scenarios, we have observed that some indices resist disturbance only in symmetry of the parent distribution, some resist the disturbance in symmetry and kurtosis of the distribution, and some indices don’t resist against either type of disturbance.     

聚合物浸渍裂解法制备C/C-ZrC复合材料及其性能

本文以低密度C/C复合材料为坯体,有机锆聚合物为前驱体,采用聚合物浸渍裂解法(PIP)制备C/C-ZrC复合材料,并对其微观结构、力学性能、烧蚀性能以及烧蚀机理进行了研究。结果表明ZrC在材料内分布均匀,密度为2.05g·cm~(-3)的C/C-ZrC复合材料其弯曲强度为89.70MPa,呈脆性断裂。经氢-氧焰烧蚀150s后其线烧蚀率为-2.2×10~(-3)mm·s~(-1),质量烧蚀率为-1.0×10-3g·s~(-1),远低于密度为1.86g·cm~(-3)的C/C复合材料(线烧蚀率:4.4×10~(-3) mm·s~(-1),质量烧蚀率:7.5×10~(-4)g·s~(-1));在烧蚀的过程中,ZrC表现出优先氧化,同时生成的ZrO_2阻挡层能有效阻挡热量的传递和氧气的渗透,提高了材料的抗烧蚀性能。     

无人值守泵站自动化技术改造案例

介绍宜兴水务集团泵站自动化控制系统的组成与功能,着重论述改造前后控制方式的变化和达到的效果。     

上下文无关语言的可重复序列及其性质

通过分析下推自动机的运行规律和特点,提出上下文无关语言的可重复序列的概念,将其划分为平衡重复序列、增重复序列、减重复序列三类;研究了这三类可重复序列在下推自动机的状态转换图中的结构表现和性质,通过分析下推自动机状态转换图中标注回路与可重复序列之间的关系,给出求解可重复序列的计算方法;证明了不同类型的可重复序列对上下文无关语言性质的影响,利用可重复序列揭示了上下文无关语言的Pumping引理的本质特征,并给出正规语言判定的一个充分必要条件.     

基于S7-300的污水泵站自动控制系统设计

针对目前污水泵站采用的继电器-接触器控制方式运行管理成本高的问题,提出了一种以S7-300 PLC为核心的污水泵站自动控制系统的设计方案,介绍了系统的组成及控制原理,阐述了系统的软、硬件设计。该系统采用PLC控制1台软启动器拖动4台电动机的方式,消除了直接启动对电动机带来的影响;可根据不同情况自动选择最合理的运行状态,同时可与上位机通信,以上传数据和接收控制命令。实际应用结果表明,该系统运行稳定,提高了污水泵站的净水效率。     

A self-organising mixture autoregressive network for FX time series modelling and prediction

Nowadays a great deal of effort has been made in order to gain advantages in foreign exchange (FX) rates predictions. However, most existing techniques seldom excel the simple random walk model in practical applications. This paper describes a self-organising network formed on the basis of a mixture of adaptive autoregressive models. The proposed network, termed self-organising mixture autoregressive (SOMAR) model, can be used to describe and model nonstationary, nonlinear time series by means of a number of underlying local regressive models. An autocorrelation coefficient-based measure is proposed as the similarity measure for assigning input samples to the underlying local models. Experiments on both benchmark time series and several FX rates have been conducted. The results show that the proposed method consistently outperforms other local time series modelling techniques on a range of performance measures including the mean-square-error, correct trend predication percentage, accumulated profit and model variance.     

基于多示例多标记的抽油机故障诊断

针对抽油机工况数据可从位移、载荷、电流等多个方面进行描述,若仅仅使用一个特征向量来描述抽油机工况数据会使其信息过于简化,丢失一部分有效信息的问题,以及工况数据具有多义性的特征,提出基于多示例多标记的抽油机故障诊断.该学习方法中,用抽油机的位移、载荷、电流数据作为抽油机工况样本包的多个示例,使用k-medoids聚类算法对样本包进行聚类,将多个样本包转换为若干示例,新示例的每一维表示样本包到样本各聚类中心的距离,再利用MLSVM算法对转换后的多标记问题进行求解.实验结果表明,多示例多标记学习能够及时、准确地诊断出抽油机故障问题.