基于二代小波变换的信号去噪及其软测量建模

化工生产过程中采集到的数据信号通常具有随机性和非平稳性,附加了各种噪声,以至于影响数据建模的拟合效果和泛化性能.本文基于二代小波分析的特点,提出了一种对信号数据进行小波变换阈值去噪的方法.该方法可去除大部分高频随机噪声,提取真实信号,进而提高数据的置信度.将该方法与支持向量机相结合并应用于双酚A反应过程质量指标软测量模型中.仿真结果表明,该方法能有效恢复数据的真实性,提高数据建模的拟合精度与泛化性能.     

基于复小波域奇异值分解的自适应图像水印

将双树复小波分解的多方向性扣冗余性与奇异值稳定性结合,提出一种新的盲检测数字水印方案.该方案将水印嵌入图像双树复小波分解后各子带系数的分块奇异值中,块长可动态调整.为避免产生块状效应.使用统计学模型来自适应调整量化参数,改善了水印图像的不可感知性和安全性.实验表明,该方案对于通常的几何攻击具有鲁棒性,对JPEG压缩攻击性能较稳定,并有效提高了水印的容量.     

SDN智能管控编排系统技术方案研究

随着用户对网络提出更为苛刻的服务质量要求,运营商着力进行各专业网络的智能化改造建设。首先,简单介绍了产业界各专业网络软件定义网络（software defined network,SDN）改造建设现状,并对改造过程中存在的问题进行了分析;然后,提出了SDN智能管控编排系统方案,以满足用户对跨专业业务端到端自动开通的需求,并在网络层面实现资源数据的智能分析,提升运维效率;最后,介绍了在提出架构下的专线业务开通流程和实时告警流程与实践。     

计及源网荷交互影响的区域电网热稳安全供电区间计算方法

新能源和负荷的不确定性与输电通道的潮流转移存在交互影响,区域电网供电能力呈现出强不确定性的特点。提出一种计及源网荷交互影响的区域电网热稳安全供电区间计算模型及其求解方法。采用安全供电区间来描述区域电网供电能力的分布范围,考虑新能源和负荷的不确定性,建立区域电网热稳安全供电区间的线性化模型。在输电通道安全运行约束中考虑可中断负荷参与调控的影响,挖掘区域电网的供电能力。实际电网的算例结果表明,不同源荷分布下的供电能力分布在一个较宽的范围,可中断负荷的分布和容量均对供电能力影响较大,验证了所提模型的正确性。     

带有大中继线圈的无线充电磁耦合器抗偏移特性研究

感应式电能传输技术在电动汽车实际应用中不可避免地出现原副边线圈相对位置错位,这会导致系统效率下降、线圈过流等一系列问题。针对这些问题,提出一种带大中继线圈的三线圈磁耦合器结构用于提升系统抗偏移能力。结合解析法和有限元法,分析了影响系统效率的关键因素,研究了不同补偿参数下三线圈磁耦合器传输性能以及不同偏移程度下两线圈和三线圈的互感和损耗的变化规律,并验证了含大中继线圈的三线圈磁耦合器在提升抗偏移能力方面的独特优势。在此基础上,提出基于两线圈和三线圈切换的具有强抗偏移能力的磁耦合器优化设计方法。设计并研制了线圈尺寸为400 mm×400 mm的磁耦合器样机,实验结果表明在偏移尺寸达到线圈尺寸50%、输出功率为3 kW的情况下,磁耦合器效率可达95 %,相比传统两线圈磁耦合器效率提升5 %。     

计及老化线路电流承载能力退化特性的电力系统连锁故障分析

长期老化效应导致输电线路的电流承载能力退化以及老化失效风险增大,会使连锁故障风险进一步恶化。研究了输电线路老化对电力系统连锁故障的影响。首先,基于热平衡理论建立了输电线路老化相依的电流承载能力计算模型,阐述了电流承载能力与输电线路运行年龄的数值对应关系。在此基础上,综合考虑实时潮流和输电线路的老化效应,建立了包含实时潮流、运行年限、停运概率的三维映射关系,改良了输电线路动态停运概率模型。然后,通过引入概率阈值参数,建立一种改进的基于停运概率模型的连锁故障路径搜索准则,以连锁故障演化过程中的最大概率耦合事件为导向,在过滤低概率连锁故障路径的同时筛选代表性故障路径。最后,在改进的IEEE 39节点系统上进行了实例研究。算例结果证明,考虑线路老化效应后,由单线路意外事件触发的连锁故障事件增多,概率增大,其对应路径阶数增大,系统连锁故障风险明显升高,表明输电线路老化效应与连锁故障后果之间存在显著相关性。     

Markov chain Monte Carlo in Bayesian models for testing gamma and lognormal S-type process qualities

The process capability index C_pu is widely used to measure S-type process quality. Many researchers have presented adaptive techniques for assessing the true C_pu assuming normality. However, the quality characteristic is often abnormal, and the derived techniques based on the normality assumption could mislead the manager into making uninformed decisions. Therefore, this study provides an alternative method for assessing C_pu of non-normal processes. The Markov chain Monte Carlo, an emerging popular statistical tool, is integrated into Bayesian models to seek the empirical posterior distributions of specific gamma and lognormal parameters. Afterwards, the lower credible interval bound of C_pu can be derived for testing the non-normal process quality. Simulations show that the proposed method is adaptive and has good performance in terms of coverage probability.     

A short note on the effect of sample size on the estimation error in Cp

Process capability indices such as C_p are used extensively in manufacturing industries to assess processes in order to decide about purchasing. In practice, the parameter for calculating C_p is rarely known and is frequently replaced with estimates from an in-control reference sample. This article explores the optimal sample size required to achieve a desired error of estimation using absolute percentage error of different C_p estimates. Moreover, some practical tools are created to allow practitioners to find sample size in different situations.     

Managing sequential ambidexterity in the electronics industry: roles of temporal switching capability and contingent factors

Researchers on organisational ambidexterity have proposed several solutions to address the potential conflicts between exploration activities and exploitation activities. Unlike simultaneous ambidexterity, sequential ambidexterity – defined as temporal switching between exploration and exploitation – has not been examined fully, and the conditions under which this temporal switching can be successful are unclear. This paper proposes the concept of temporal switching capability to better understand the process by which sequential ambidexterity is executed. In addition, we hypothesise that performance effects are contingent upon firm-specific factors: a firm’s business strategy and absorptive capacity. Utilising three sources of data – a secondary database, annual reports and a survey administered to 145 firms in the electronics industry with 10-year observations – we find support for our hypotheses. The results show that the temporal switching capability positively relates to new product performance and that business strategy type and absorptive capacity have moderating effects. The results are meaningful in both theory and practice.