Invention Grant
- Patent Title: Use of sequential nearest neighbor clustering for instance selection in machine condition monitoring
- Patent Title (中): 在机器状态监测中使用顺序最近邻群集实例选择
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Application No.: US12048381Application Date: 2008-03-14
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Publication No.: US07716152B2Publication Date: 2010-05-11
- Inventor: Christian Balderer , Claus Neubauer , Chao Yuan
- Applicant: Christian Balderer , Claus Neubauer , Chao Yuan
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- Main IPC: G06N5/00
- IPC: G06N5/00

Abstract:
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.
Public/Granted literature
- US20090043536A1 Use of Sequential Clustering for Instance Selection in Machine Condition Monitoring Public/Granted day:2009-02-12
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N5/00 | 利用基于知识的模式的计算机系统 |