文件名称:Semi-Supervised-Kernel-Based-Fuzzy
介绍说明－－下载内容来自于网络，使用问题请自行百度
研究半监督学习的模糊核聚类方法用于变速箱早期故障诊断的方法。故障特征不明显、样本差异小是机械故障早期检测的
难点， 基于半监督学习的核聚类方法利用少量已知模式的样本， 结合大量未知模式的样本进行半监督学习， 得到较好的识别效果。-In this paper, motion control method of semi-closed CNC method is presented for gear-box fault early detection. The difficulty
machine tools is introduced. First, regard backlash compensation in mechanical fault early detection is to detect the weakly fault
pitch error compensation and the ideal speed from interpolation information immerged in noises. The semi-supervised kernel
calculating as the velocity feed-forward.
难点， 基于半监督学习的核聚类方法利用少量已知模式的样本， 结合大量未知模式的样本进行半监督学习， 得到较好的识别效果。-In this paper, motion control method of semi-closed CNC method is presented for gear-box fault early detection. The difficulty
machine tools is introduced. First, regard backlash compensation in mechanical fault early detection is to detect the weakly fault
pitch error compensation and the ideal speed from interpolation information immerged in noises. The semi-supervised kernel
calculating as the velocity feed-forward.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
基于半监督模糊核聚类的变速箱早期故障诊断.pdf
1999-2046 搜珍网 All Rights Reserved.
本站作为网络服务提供者，仅为网络服务对象提供信息存储空间，仅对用户上载内容的表现方式做保护处理，对上载内容本身不做任何修改或编辑。