Basing on these, study theory and method of using Sphere-structured Support Vector Machines to recognize the roll bearing inside track's fault deterioration extent.
在此基础上，研究了用球结构支持向量机作分类器，对滚动轴承内圈故障的劣化程度进行识别的理论和方法。
By researching the data mining new arithmetic — Support Vector Machine, it is applied to the bearing life prediction.
通过对数据挖掘的新方法一支持向量机算法，进行研究，将其应用于轴承的寿命预测中。
In order to prepare statistical technology for the property analysis of bearing estimation, the statistical property of single vector sensor must be studied first.
为了给方位估计的性能分析预备必要的统计知识，必需首先研究单矢量传感器互谱估计的统计特性。
Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.
将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。
Support vector machine represented the nonlinear relationship between parameter of foundation and foundation bearing capacity, and compute the foundation bearing capacity based on this relationship.
利用支持向量机表达地基承载力与地基参数之间的非线性映射关系，在此基础上计算地基的承载力。
Therefore, this article will take the signal energy in each frequency band as the feature vector to characterize the operation state of rolling bearing.
因此本文接下来采用每个频带里包含的信号能量作为特征向量，来表征滚动轴承的运行状态。
A new bearing fault detection approach based on relevance vector machine (RVM) is presented.
针对轴承故障检测问题，提出一种基于相关向量机(RVM)的故障检测方法。
Applied support vector machine to foundation engineering, and proposed support vector machine method to compute the foundation bearing capacity.
将支持向量机方法应用到地基工程中，提出了计算地基承载力的支持向量机方法。
As an invaluable wealth left by our ancestors, ancient Chinese poetry has become a long magnificent vector bearing the unique culture.
作为先辈留给我们的珍贵财富，古诗词已成为承载中华悠久壮丽文化的独特载体。
The output model of vector sensor, vector sensor cross-spectral estimation and target bearing estimation are given.
在数学上描述了矢量传感器的输出模型，矢量传感器互谱估计以及由此得出的方位估计。
A control system of bearing less induction motor based on torque winding air gap field oriented vector control is accomplished.
实现了一种基于转矩绕组气隙磁场定向控制的无轴承异步电机控制系统。
The wall of construction, as the main component, is not only the load - bearing structure of the entities, but also the culture of human vector detail.
墙作为建筑的主体构件，它不仅是结构的承重实体，同时也是人类文化思想的细部载体。
The distributing vector of bridge condition on bearing capacity was predicted for new bridge, existing bridge and the bridge undergoing reinforcement. A new prediction index was put forward.
针对新建桥梁、在役桥梁以及考虑加固的桥梁分别给出其承载力可靠度分布向量预测公式，并提出承载力预测指标。
Rolling Bearing Status Monitoring method based on Support Vector Machines (SVM) is presented.
提出了一种基于支持向量机的滚动轴承状态监测方法。
Rolling Bearing Status Monitoring method based on Support Vector Machines (SVM) is presented.
提出了一种基于支持向量机的滚动轴承状态监测方法。
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