针对实际飞机电源系统电缆布线复杂,数量多的问题,本文基于现有的单根电缆故障检测成本高、效率低、检测难度大的研究现状,利用混沌序列对初值敏感(初值不同信号干扰小)、序列数量巨大的特点,提出将混沌序列用于飞机多根电缆故障在线同...针对实际飞机电源系统电缆布线复杂,数量多的问题,本文基于现有的单根电缆故障检测成本高、效率低、检测难度大的研究现状,利用混沌序列对初值敏感(初值不同信号干扰小)、序列数量巨大的特点,提出将混沌序列用于飞机多根电缆故障在线同步诊断的方法.解决了扩展频谱时域反射法(Spread Spectrum Time Domain Reflectometry,SSTDR)中采用相同m序列进行同步诊断时相互干扰、易误判问题,m序列数量限制导致的检测数量问题.研究发现其尖锐的自相关特性能够较好应用于单根电缆故障诊断,故障特征明显;其良好的互相关特性能够同时进行多根电缆的故障诊断,抗干扰性好;结合混沌序列数量多的优势,其能够推广应用于复杂电缆故障的在线诊断.实验结果表明混沌扩频电缆故障诊断方法可有效实现多根电缆故障的同步诊断,定位误差在20cm以内,检测率达90%以上.展开更多
目的了解辽宁地区炭疽芽胞杆菌的流行特征及菌型基因特征。方法通过多位点可变数目串联重复序列(Multiple locus variable numbers of tandem repeats analysis,MLVA)分型实验,对2001—2011年辽宁省分离到的6株炭疽芽胞杆菌分离株DNA进...目的了解辽宁地区炭疽芽胞杆菌的流行特征及菌型基因特征。方法通过多位点可变数目串联重复序列(Multiple locus variable numbers of tandem repeats analysis,MLVA)分型实验,对2001—2011年辽宁省分离到的6株炭疽芽胞杆菌分离株DNA进行检测,DNA指纹图谱使用BioNumerics 4.0软件进行统计分析,得出聚类分析结果。结果聚类分析发现,6株炭疽芽胞杆菌株可分为2个基因型。对于炭疽暴发而言,其可变数目串联重复序列遗传标记具有高度相似性。结论炭疽芽胞杆菌基因组中的串联重复序列可作为炭疽芽胞杆菌基因分型的指标,在炭疽暴发事件中的病原体溯源上具有重要的意义。展开更多
Oil–water two-phase flow patterns in a horizontal pipe are analyzed with a 16-electrode electrical resistance tomography(ERT) system. The measurement data of the ERT are treated as a multivariate time-series, thus th...Oil–water two-phase flow patterns in a horizontal pipe are analyzed with a 16-electrode electrical resistance tomography(ERT) system. The measurement data of the ERT are treated as a multivariate time-series, thus the information extracted from each electrode represents the local phase distribution and fraction change at that location. The multivariate maximum Lyapunov exponent(MMLE) is extracted from the 16-dimension time-series to demonstrate the change of flow pattern versus the superficial velocity ratio of oil to water. The correlation dimension of the multivariate time-series is further introduced to jointly characterize and finally separate the flow patterns with MMLE. The change of flow patterns with superficial oil velocity at different water superficial velocities is studied with MMLE and correlation dimension, respectively, and the flow pattern transition can also be characterized with these two features. The proposed MMLE and correlation dimension map could effectively separate the flow patterns, thus is an effective tool for flow pattern identification and transition analysis.展开更多
文摘针对实际飞机电源系统电缆布线复杂,数量多的问题,本文基于现有的单根电缆故障检测成本高、效率低、检测难度大的研究现状,利用混沌序列对初值敏感(初值不同信号干扰小)、序列数量巨大的特点,提出将混沌序列用于飞机多根电缆故障在线同步诊断的方法.解决了扩展频谱时域反射法(Spread Spectrum Time Domain Reflectometry,SSTDR)中采用相同m序列进行同步诊断时相互干扰、易误判问题,m序列数量限制导致的检测数量问题.研究发现其尖锐的自相关特性能够较好应用于单根电缆故障诊断,故障特征明显;其良好的互相关特性能够同时进行多根电缆的故障诊断,抗干扰性好;结合混沌序列数量多的优势,其能够推广应用于复杂电缆故障的在线诊断.实验结果表明混沌扩频电缆故障诊断方法可有效实现多根电缆故障的同步诊断,定位误差在20cm以内,检测率达90%以上.
文摘目的了解辽宁地区炭疽芽胞杆菌的流行特征及菌型基因特征。方法通过多位点可变数目串联重复序列(Multiple locus variable numbers of tandem repeats analysis,MLVA)分型实验,对2001—2011年辽宁省分离到的6株炭疽芽胞杆菌分离株DNA进行检测,DNA指纹图谱使用BioNumerics 4.0软件进行统计分析,得出聚类分析结果。结果聚类分析发现,6株炭疽芽胞杆菌株可分为2个基因型。对于炭疽暴发而言,其可变数目串联重复序列遗传标记具有高度相似性。结论炭疽芽胞杆菌基因组中的串联重复序列可作为炭疽芽胞杆菌基因分型的指标,在炭疽暴发事件中的病原体溯源上具有重要的意义。
基金Projects(61227006,61473206) supported by the National Natural Science Foundation of ChinaProject(13TXSYJC40200) supported by Science and Technology Innovation of Tianjin,China
文摘Oil–water two-phase flow patterns in a horizontal pipe are analyzed with a 16-electrode electrical resistance tomography(ERT) system. The measurement data of the ERT are treated as a multivariate time-series, thus the information extracted from each electrode represents the local phase distribution and fraction change at that location. The multivariate maximum Lyapunov exponent(MMLE) is extracted from the 16-dimension time-series to demonstrate the change of flow pattern versus the superficial velocity ratio of oil to water. The correlation dimension of the multivariate time-series is further introduced to jointly characterize and finally separate the flow patterns with MMLE. The change of flow patterns with superficial oil velocity at different water superficial velocities is studied with MMLE and correlation dimension, respectively, and the flow pattern transition can also be characterized with these two features. The proposed MMLE and correlation dimension map could effectively separate the flow patterns, thus is an effective tool for flow pattern identification and transition analysis.
