Invention Grant
US07035763B2 Systems and methods for selecting training data and generating fault models for use in use sensor-based monitoring
失效
选择训练数据和生成故障模型以用于使用基于传感器的监测的系统和方法
- Patent Title: Systems and methods for selecting training data and generating fault models for use in use sensor-based monitoring
- Patent Title (中): 选择训练数据和生成故障模型以用于使用基于传感器的监测的系统和方法
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Application No.: US10932577Application Date: 2004-09-02
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Publication No.: US07035763B2Publication Date: 2006-04-25
- Inventor: Chao Yuan , Claus Neubauer , Hans-Gerd Brummel , Ming Fang , Zehra Cataltepe
- Applicant: Chao Yuan , Claus Neubauer , Hans-Gerd Brummel , Ming Fang , Zehra Cataltepe
- Applicant Address: US FL Orlando
- Assignee: Siemens Westinghouse Power Corporation
- Current Assignee: Siemens Westinghouse Power Corporation
- Current Assignee Address: US FL Orlando
- Main IPC: G06F15/00
- IPC: G06F15/00 ; G06F19/00
Abstract:
A system for generating a sensor model for use in sensor-based monitoring is provided. The system includes a segmenting module for segmenting a collection of sensor vectors into a plurality of bins comprising distinct sensor vectors. The system also includes a set-generating module for generating a set of statistically significant sensor vectors for each bin. The system further includes a consistency determination module for generating at least one consistent set of sensor vectors from the sets of statistically significant sensor vectors. Additionally, the system includes a model-generating module for generating a sensor model based upon the at least one consistent set.
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