用于电弧检测的电力专用SoC设计

针对传统的电弧电路故障检测结果不准确的问题,设计用于电弧检测的SoC系统,并且在55nm工艺下进行流片验证。采用包含两种结构的模数转换器的片上电压源,设计了锁相环以及复位电路,精度最高可达8.67 bit。验证结果表明,本设计可提高电弧检测的准确性。     

一种可控的自动扶梯电磁铁驱动电路板

扶梯制动系统是扶梯在出现紧急状况下确保乘客安全的重要设施。制动系统中的安全制动是在工作制动器无法在规定的时间内制停扶梯的一个措施,往往是在一些特别危险的场合下被触发,因此对于此制动器的控制显得尤为重要。本文提出了一种新型的自动扶梯制动器电磁铁驱动电路的设计,该设计用纯电子线路替代了传统的电气与电子组合形式,直接由自动扶梯单片机控制单元进行控制。     

Study of planar structure applying reciprocity technique combined with MGEC and analysis of discontinuity

The 3D structure electromagnetic computation presents several difficulties related to the volume mesh. In fact, the entire volume space must be taken into account even the smallest details. In this article, we propose a formulation based on the reciprocity theorem combined with the generalized equivalent circuit method to model a planar 3D structure with both coaxial and planar excitation. The major advantage of this formulation is the fact to reduce the computational volume into 2D ones in the discontinuity plane. In addition, we focused on the calculation of the discontinuity between the excitation source and the planar structure to determine the exact behavior of the electric coaxial excitation model. The obtained current density, electric field distributions, and the input impedance are presented and discussed in the following sections. An approximately good agreement of input impedance with those obtained by the simulator and measurement is shown.     

QKD系统中基于EA电路的诱骗态实现

使用诱骗态量子秘钥方案可以解决因光子数分离攻击而导致的安全漏洞,保证了长距离量子通信的安全。本文介绍了量子通信的相关原理,通过对电吸收调制电路和激光器驱动电路的设计,精确控制产生了1550 nm波段的窄脉冲,经过内部调制成功制备诱骗态光脉冲,其强度约为信号态光脉冲的三分之一,因激光器的同一性而具有一致的光学特征从而避免了时频窃听,并具有强度可调的优点。     

计及RSC控制的DFIG短路电流直流分量解析表达

现有文献针对计及转子变流器(RSC)控制的双馈感应风电机组(DFIG)定子短路电流解析表达,将定子磁链当作一阶直流衰减分量或忽略功率外环控制。基于DFIG电压、磁链和RSC控制方程,得到定子电流关于定子电压和定子功率的传递函数,提出定子电流的精确解析表达式。基于RSC内、外环PI参数关系,推导直流分量衰减时间常数和角频率关于PI参数的表达式。分析了RSC内外环PI参数对定子电流直流衰减分量的影响。仿真结果验证了解析表达式的准确性,为PI参数选取和保护装置测量、整定提供依据。     

矿用组合开关保护系统研究

简要介绍了本安先导电路的判定及继电器隔离方式的本安先导电路原理,运用3种方法分析了矿井低压电网漏电故障,最后在此基础上,从组合开关对电压保护、短路保护和过载保护三个方面,详细探讨了基于组合开关的矿井低压电网保护,相信可以通过多方面的综合分析研究出更可靠、保护更加全面和智能的组合开关,从而为中国井下煤矿的安全机械化开采提供更有保障的服务。     

基于量子线路逻辑运算的单光子量子态测量方案

在量子探测领域,关键任务之一就是要对未知量子态进行测量以获取量子态信息。通过将量子计算中的量子门所组成的量子线路应用于量子探测领域,提出实现单光子未知量子态的测量方案。利用量子计算的叠加性、纠缠性、可纠错性以及量子线路的可集成性,可以使得探测更具高效性并简化探测的实验系统。利用本文提出的探测新方案,通过仿真计算对该方案进行了模拟。在该方案的理论计算与仿真模拟结果的基础上,得到了以下的结论:通过在不同信噪比等参数的条件下选择适当的测量次数,基于量子线路的方案可以得到较为精确的测量结果。     

用于机床减振的磁流变阻尼器优化设计

以三平动冗余驱动并联机床为研究对象,设计了一种具有位移放大功能的磁流变阻尼器,通过Ansys workbench有限元分析软件,对阻尼器的磁路饱和情况进行模拟仿真和分析,使阻尼器的阻尼出力达到最优。研究结果表明,通过优化使磁场分布更加合理,提高了阻尼器的力学性能,优化方法是可行有效的。     

瞬态二极管损坏后短路而引起的设备损坏问题探讨

通过在信号防雷器的瞬态二极管前加装一种快速熔断型保险管的方法，使得当瞬态二极管因各种原因损坏至短路后，当短路电流增大至一定程度后，快速熔断型保险管断开从而使瞬态二极管从电路中脱离，保证信号防雷器不会因瞬态二极管短路而引发短路电流，保证后级设备的使用安全。并就瞬态二极管在应用中出现短路损坏时短接电流引起的设备损坏问题提出一种解决方案进行探讨。     

Root cause analysis of process fault conditions on an industrial concentrator circuit by use of causality maps and extreme learning machines

Model-based fault diagnosis tends to be too expensive or time-consuming to apply in the mineral processing industries, owing to the complexity and variability of operations. In contrast, data-based methods are inexpensive, but do not exploit the availability of first principle knowledge of plant operations. In this investigation, the use of process causality maps in conjunction with data-based fault diagnosis is considered as a hybrid methodology that can leverage the advantages of both approaches. Extreme learning machine algorithms are used to implement the data-based component of the approach. These algorithms can be deployed rapidly on large-scale systems and have the ability to deal with highly nonlinear systems. Two different variants are considered, viz. one used in combination with principal component analysis, as well as one with a bagging algorithm for fault diagnosis and applied to an industrial concentrator circuit in South Africa. The use of process causality maps led to significantly more effective fault diagnosis, while the use of extreme learning machines in combination with principal component analysis likewise allowed markedly better fault detection and diagnosis. In contrast, fault diagnosis with the bagging approach did not perform particularly well, owing to the high degree of correlation between the variables, which made it difficult to isolate individual causal variables.