Carboniferous in manxi region of tarim basin is divided into six sequences under the guidance of sequence stratigraphy and in the combination of well logging data and log data , and the characteristics of every sequence and system tract are described 本文以层序地层学理论为指导,综合测井、录井资料,将塔里木盆地满西地区石炭系划分为六个层序,并描述了各层序及体系域的特征。
We separate nc machine tools structure into several structure characteristics while extract shape characteristics from machine tools , in this process , we quote the notion “ characteristic mapping ” and set up a series mapping relationship from structure domain to shape domain 即通过对数控机床结构分解成若干结构特征,再把造型也分解成若干可以反映总体特点的造型特征,引入特征映射的概念,建立由结构特征域到造型特征域的特征映射关系。
Based on theoretical deductions and data simulations , this dissertation analyzes properties of echo data in time domain , frequency domain and wavelet packet transform ( wpt ) domain . we also analysize properties of complex image data in image domain , image frequency domain and image wavelet packet transform domain . several methods are proposed for jamming suppression in signal domain and image domain respectively 本文在理论推导、数据仿真的基础上,分析了原始回波数据在时域、频域和小波变换域的特征以及复图像数据在图像域、图像频域和图像小波变换域的特征,提出了几种行之有效的信号域和图像域抑制方法。
This paper describes the features of products and assembly . based on the description of these features , the principle of features mapping is studied by set theory . through the multiply mapping of features , a mathematical model of features mapping from design domain to assembly domain is proposed . such a study lays a foundation for the multiple domain feature mapping in concurrent engineering 用数学方法描述了产品设计特征和装配特征信息.应用集合论在特征信息描述的基础上,探讨了特征映射机理.通过多层特征映射,建立了产品从设计域到装配域的特征映射数学模型,为并行工程中多域特征映射理论的研究奠定了基础
After collecting the characteristics of this signal in frequency domain , the samples are learned to train the constructed wavelet neural network ( wnn ) for realizing the mapping relationship between the fault and the spectrum characteristic , this method can be used for diagnosis of the unit faults efficiently 在对水电机组振动信号进行频谱分析后,提取该信号在频率域的特征量,将频谱特征向量作为学习样本,通过训练,使构造的小波神经网络能够反映频谱特征向量和故障类型之间的映射关系,从而达到故障诊断的目的。
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