发明授权
EP1579288B1 SYSTEM STATE MONITORING USING RECURRENT LOCAL LEARNING MACHINE
有权
SYSTEMZUSTANDSÜBERWACHUNGDURCH EINE ITERATIVE LOKALELERNMASCHINE
- 专利标题： SYSTEM STATE MONITORING USING RECURRENT LOCAL LEARNING MACHINE
- 专利标题（中）： SYSTEMZUSTANDSÜBERWACHUNGDURCH EINE ITERATIVE LOKALELERNMASCHINE
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申请号： EP03781728.5申请日： 2003-11-03
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公开(公告)号： EP1579288B1公开(公告)日： 2017-03-15
- 发明人: WEGERICH, Stephan, W. , XU, Xaio
- 申请人： GE Intelligent Platforms, Inc.
- 申请人地址： 2500 Austin Drive Charlottesville, VA 22911-8300 US
- 专利权人： GE Intelligent Platforms, Inc.
- 当前专利权人： GE Intelligent Platforms, Inc.
- 当前专利权人地址： 2500 Austin Drive Charlottesville, VA 22911-8300 US
- 代理机构： Illingworth-Law, William Illingworth
- 优先权： US423476P 20021104
- 国际公布： WO2004042531 20040521
- 主分类号： G05B17/02
- IPC分类号： G05B17/02 ; G05B23/02 ; G05B13/02
摘要：
Reference data observations for given system are used to develop a reference set of such observations. Subsequent observations (comprising, in one embodiment, current observations) are then used to facilitate selection of portions of this reference set to yield a resultant set of observations that serves as a model. This model can then be used in comparison to actual system performance to detect, for example, a trend towards a faulty condition. Pursuant to a preferred approach, the model is recomputed from time to time and, pursuant to a particular embodiment, is recomputed with each new set of current observations.
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