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1)  fluid state identification
流态识别
2)  fluid performance identification
流体动态识别
3)  State Recognition
状态识别
1.
Application of rough sets theory in flame image processing and state recognition;
粗糙集理论在火焰图像处理及状态识别中应用
2.
Equipment degradation state recognition and fault prognosis method based on wavelet correlation feature scale entropy and HSMM;
基于小波相关特征尺度熵的HSMM设备退化状态识别与故障预测方法
3.
Research on equipment degradation state recognition and fault prognostics method based on KPCA-Hidden Semi-Markov Model
基于KPCA-HSMM设备退化状态识别与故障预测方法研究
4)  mode identification
模态识别
1.
Also, the process of the experiment and the method of mode identification are discussed in details.
介绍了实验背景 ,实验过程 ,及模态识别的方法 ,得到了拉线塔横向、纵向及扭转向的一阶频率、振型和阻尼比。
5)  status recognition
状态识别
1.
Research on Cutting Status Recognition Based on Wavelet packets and Hidden Markov Model;
小波包隐Markov模型刀具状态识别研究
2.
Human status recognition method for the life detection radarbased on the harmonic model;
基于谐波模型的生命探测雷达人体状态识别方法
3.
For milling-cutter-status recognition,in order to well fit training sample data,the algorithm of integrating linear machine and rough set is applied.
在铣刀状态识别中,为更好地拟合训练样本数据,采用了线性机和粗糙集结合的算法,对训练样本数据进行监督学习,得到了刀具状态分类规则。
6)  condition recognition
状态识别
1.
Equipment condition recognition with multi-category support vector machine in wireless sensor networks;
无线传感网络多分类支持向量机设备状态识别
2.
Machine condition recognition based on kernel principal component analysis;
基于核函数主元分析的机械设备状态识别
3.
The research for tribology by system method and the condition recognition for the tribology system;
摩擦学研究的系统方法与系统状态识别
补充资料:超流湍流态(superfluidturbulentstates)
超流湍流态(superfluidturbulentstates)

液HeⅡ中流速超过临界值vc时,有附加阻力存在,出现耗散流,非线性效应明显。例如有温度差时,在热流不大的线性范围,热流正比于温度梯度`\nablaT`,但流速超过vc后,热流即减小,它正比于$(\nablaT)^{1//3}$。这类耗散现象称超流湍流,所处的这种状态称超流湍流态,它可视为由大量涡旋线的存在而发生的。

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