发明名称 |
Use of Sequential Clustering for Instance Selection in Machine Condition Monitoring |
摘要 |
A method is provided for selecting a representative set of training data for training a statistical model in a machine condition monitoring system. The method reduces the time required to choose representative samples from a large data set by using a nearest-neighbor sequential clustering technique in combination with a kd-tree. A distance threshold is used to limit the geometric size the clusters. Each node of the kd-tree is assigned a representative sample from the training data, and similar samples are subsequently discarded.
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申请公布号 |
US2009043536(A1) |
申请公布日期 |
2009.02.12 |
申请号 |
US20080048381 |
申请日期 |
2008.03.14 |
申请人 |
BALDERER CHRISTIAN;NEUBAUER CLAUS;YUAN CHAO |
发明人 |
BALDERER CHRISTIAN;NEUBAUER CLAUS;YUAN CHAO |
分类号 |
G06F17/18;G06F15/18 |
主分类号 |
G06F17/18 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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