A convenient and sensitive method for haloacetic acid analysis in tap water by on‐line field‐amplified sample‐stacking CE–ESI‐MS

In this study, we propose a simple strategy based on flow injection and field‐amplified sample‐stacking CE–ESI‐MS/MS to analyze haloacetic acids (HAAs) in tap water. Tap water was passed through a desalination cartridge before field‐amplified sample‐stacking CE–ESI‐MS/MS analysis to reduce sample salinity. With this treatment, the signals of the HAAs increased 300‐ to 1400‐fold. The LODs for tap water analysis were in the range of 10 to 100 ng/L, except for the LOD of monochloroacetic acid (1 μg/L in selected‐ion monitoring mode detection). The proposed method is fast, convenient, and sensitive enough to perform on‐line analysis of five HAAs in the tap water of Taipei City. Four HAAs, including trichloroacetic acid, dichloroacetic acid, dibromoacetic acid, and monobromoacetic acid, were detected at concentrations of approximately 1.74, 1.15, 0.16, and 0.15 ppb, respectively.     

SPE of 5‐lipoxygenase metabolites and the effect of head‐column field‐amplified sample stacking in MEKC

The SPE of leukotrienes and eicosatetraenoic acids using anion exchange materials was compared to the classical extraction with C₁₈ columns. A silica‐based strong anion exchanger, a polymer‐based weak anion exchanger, and a polymer‐based mixed‐mode strong anion exchanger were studied. All anion exchange materials displayed a higher recovery of the analytes with values between 70 and 90% when extracting standard solutions and analyzing by HPLC. The effect was less pronounced for the analysis of the compounds in incubations of polymorphonuclear leukocytes. Using MEKC with head‐column field‐amplified sample stacking for analyte quantification, much lower values of the peak areas were observed compared to the determination of the recovery of the analytes by HPLC. Using MEKC analysis, the highest values were found for the polymer‐based weak anion exchange material, while values below 10% were found for the polymer‐based mixed mode strong anion exchanger. This could be attributed to the presence of electrolytes in the eluates that compromised the stacking efficiency. The extent of residual electrolytes depended on the SPE protocol, resulting in large differences of the amount of analyte determined by MEKC when applying head‐column field‐amplified sample stacking for online analyte concentration.     

基于CAN总线的某型数字化战车自动测试系统设计

针对现代数字化战车电气与电子系统技术复杂、各分系统关联程度高、维修保障困难等问题,设计了一种基于CAN总线的数字化战车自动测试系统;整体设计基于模块化思想,充分利用车载备用总线,综合运用了DSP+FPGA控制处理技术、AFPN智能故障诊断技术,能够对车载电气与电子系统进行分系统独立测试和全系统联合检测,具有快速故障定位能力和拓扑适应能力;采用适配器与上位机测试软件的分体式设计,实现了平台物理资源复用。应用表明,该系统能够较好的适用于现代数字化战车的维修保障,使用方便,故障诊断快速有效。     

基于多区域代理的分布式故障诊断方法

军用大型复杂装备组成涉及多个子系统或多个装备,故障诊断涉及上百个分散测试点数据采集和分离模块的诊断推理。传统装备采用集中测试和诊断方法,配套测试系统结构设计复杂、系统故障诊断算法效率低。本文基于D-矩阵故障诊断原理,提出基于多区域Agent的分布式故障诊断结构模型和区域Agent数据协同、区域Agent测试结果仲裁等问题的解决办法,并以某型舰船装备为例,验证了基于多区域代理的分布式故障诊断技术的有效性。     

Pentafluorobenzoato‐dimolybdenum(II) Solvate and Co‐crystal Complexes with Benzene and Naphthalin

The quadruply bonded Mo₂⁴⁺ complex Mo₂(DAniF)₃(OOCC₆F₅) ( 1 ) [DAniF = N,N′‐bis(4‐methoxyphenyl)formamidinate] was synthesized. The solvate Mo₂(DAniF)₃(OOCC₆F₅) · (C₆H₆) ( 2 ) and co‐crystal Mo₂(DAniF)₃(OOCC₆F₅) · (C₁₀H₈) ( 3 ) complexes were obtained by self‐assembly of crystals of 1 with benzene and naphthalin, respectively. Compounds 1 , 2 , and 3 were structurally characterized by single‐crystal X‐ray diffraction. In monomer 1 , the Mo–Mo bond length of 2.0874(6) Å is typical for dimolybdenum quadruple bonds. The solvate complex 2 was stabilized by weak π–π stacking interactions between the benzene molecule and the pentafluorophenyl ring (as indicated by a center‐to‐center distance of 3.838(10) Å and a center‐to‐plane distance of 3.712(4) Å between phenyl and pentafluorophenyl ring) and intermolecular C–H ··· F–C interactions (the shortest F ··· H distance is 2.560(2) Å). In complex 3 , a one‐dimensional chain was formed by C–H ··· F–C interactions between the hydrogen atoms in naphthalin and the fluorine atoms in the monomer (H ··· F distances of 2.582(2) Å). Information on the structures in solution of the three crystals was obtained by ¹H NMR spectroscopy.     

基于Modbus/TCP的配电网自动化远方终端设计

为了提高对现代雷达系统的故障诊断能力,开发了一种融合在雷达系统内部的嵌入式测试系统;系统通过在雷达内部布设测试设备,设置故障监测点和加入测试信号,对雷达各部分的工作状态、性能进行监测,用于雷达系统的性能检测和故障诊断,缩短平均维修时间（MTTR）; 硬件选用精密的测量仪器和先进的总线通讯技术保证测试精度,软件采用先进的算法,融合了加电BIT、周期BIT和维护BIT等测试手段,保证故障隔离的准确,该系统已在多种雷达系统中得到成功的应用。     

基于Flowmaster的飞机燃油供油系统仿真研究

飞机燃油系统作为飞机不可或缺的功能和保障系统,对飞机的安全性有着重大的影响。针对飞机燃油供油系统的故障诊断问题,利用流体仿真软件Flowmaster建立了供油系统模型。仿真了飞机燃油系统增压泵供油、交输供油、重力供油的工作情况。分析了飞机燃油供油系统的故障模式,仿真了在几种典型故障模型下的工作情况,并对仿真结果进行了分析。结果表明利用Flowmaster所建立的供油系统模型能有效地仿真飞机燃油系统正常与故障工作情况,为飞机燃油系统的故障诊断打下了基础。     

基于MDARM和VxWorks的小型无人机执行器故障检测方法

由于目前在小型无人机执行器故障诊断中存在着智能化程度较低,容易受到人为因素干扰,从而出现故障漏检等问题,难以满足小型无人机对飞行安全的要求。为此,本文提出一种基于多维数据关联规则挖掘(Multidimensional Data Association Rules Mining: MDARM)和VxWorks操作系统的小型无人机执行器故障诊断方法,通过建立执行器内部传感器测量的温度、压力、流速、力矩等相关变量的历史数据库,并对这些数据进行预处理,以避免带来噪声污染,并利用可测量参数与不可测量参数之间的关联性,建立故障诊断知识库,避免了诊断过程中的人为因素干扰,实现小型无人机执行器故障的精准测量。实验结果证明,这种方法能够有效地提高故障准确率64.7%,对小型无人机执行器的智能诊提供有效指导,应用前景广阔。     

基于遗传算法的自动驾驶仪测试性分析

为了提高自动驾驶仪故障测试与诊断的快速性与准确性,提出了一种基于遗传算法的自动驾驶仪测试性分析方法;此方法解决了遗传算法应用于测试项目选择的难点,构建了最优的故障测试策略,能以最短时间完成测试并满足测试覆盖性的要求;利用故障测试获得的知识,简化故障与测试间的相关性矩阵,加快了故障诊断的速度;最终获得了故障测试与诊断一体化的方法;实验结果表明,此方法有效提高了故障测试与诊断的速度,并且易于实现。     

Closed and open-ended stacking fault tetrahedra formation along the interfaces of Cu–Al nanolayered metals

Stacking fault tetrahedra (SFTs) are volume defects that typically form by the clustering of vacancies in face-centred cubic (FCC) metals. Here, we report a dislocation-based mechanism of SFT formation initiated from the semi-coherent interfaces of Cu–Al nanoscale multilayered metals subjected to out-of-plane tension. Our molecular dynamics simulations show that Shockley partials are first emitted into the Cu interlayers from the dissociated misfit dislocations along the Cu–Al interface and interact to form SFTs above the triangular intrinsic stacking faults along the interface. Under further deformation, Shockley partials are also emitted into the Al interlayers and interact to form SFTs above the triangular FCC planes along the interface. The resulting dislocation structure comprises closed SFTs within the Cu interlayers which are tied across the Cu–Al interfaces to open-ended SFTs within the Al interlayers. This unique plastic deformation mechanism results in considerable strain hardening of the Cu–Al nanolayered metal, which achieves its highest tensile strength at a critical interlayer thickness of ~4 nm corresponding to the highest possible density of complete SFTs within the nanolayer structure.