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1.发明授权
公开(公告)号：EP1960853B1
公开(公告)日：2010-03-31
申请号：EP06838908.9
申请日：2006-12-04
发明人： NEUBAUER, Claus , YUAN, Chao
IPC分类号： G05B19/418 , G05B19/406 , G05B19/23 , G06F17/18 , G06K9/62
CPC分类号： G05B19/4065 , G05B23/024 , G05B23/0281 , G05B2219/31357 , G05B2219/34477 , G06K9/6284 , Y02P90/14
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2.发明公开EVALUATING ANOMALY FOR ONE-CLASS CLASSIFIERS IN MACHINE CONDITION MONITORING 有权评估异常分析EINKLASSENKLASSIFIZIERER机器状态监测
公开(公告)号：EP1960853A1
公开(公告)日：2008-08-27
申请号：EP06838908.9
申请日：2006-12-04
发明人： NEUBAUER, Claus , YUAN, Chao
IPC分类号： G05B19/418 , G05B19/406 , G05B19/23 , G06F17/18 , G06K9/62
CPC分类号： G05B19/4065 , G05B23/024 , G05B23/0281 , G05B2219/31357 , G05B2219/34477 , G06K9/6284 , Y02P90/14
摘要： A method for monitoring machine conditions provides additional information using a one-class classifier in which an evaluation function is learned. In the method, a distance is determined from an anomaly measurement x to a boundary of a region R1 containing all acceptable measurements. The distance is used as a measure of the extent of the anomaly. The distance is found by searching along a line from the anomaly to a closest acceptable measurement within the region R1.
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3.发明授权EVALUATING ANOMALY FOR ONE-CLASS CLASSIFIERS IN MACHINE CONDITION MONITORING 有权评估异常分析EINKLASSENKLASSIFIZIERER机器状态监测
公开(公告)号：EP1960853B8
公开(公告)日：2010-06-23
申请号：EP06838908.9
申请日：2006-12-04
申请人： Siemens Corporation
发明人： NEUBAUER, Claus , YUAN, Chao
IPC分类号： G05B19/418 , G05B19/406 , G05B19/23 , G06F17/18 , G06K9/62
CPC分类号： G05B19/4065 , G05B23/024 , G05B23/0281 , G05B2219/31357 , G05B2219/34477 , G06K9/6284 , Y02P90/14
摘要： A method for monitoring machine conditions provides additional information using a one-class classifier in which an evaluation function is learned. In the method, a distance is determined from an anomaly measurement x to a boundary of a region R1 containing all acceptable measurements. The distance is used as a measure of the extent of the anomaly. The distance is found by searching along a line from the anomaly to a closest acceptable measurement within the region R1.
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公开(公告)号：EP2193478A1
公开(公告)日：2010-06-09
申请号：EP08836747.9
申请日：2008-09-25
申请人： Siemens Corporation
CPC分类号： G06K9/00536 , G06K9/6284
摘要： A method and framework are described for detecting changes in a multivariate data stream. A training set is formed by sampling time windows in a data stream containing data reflecting normal conditions. A histogram is created to summarize each window of data, and data within the histograms are clustered to form test distribution representatives to minimize the bulk of training data. Test data is then summarized using histograms representing time windows of data and data within the test histograms are clustered. The test histograms are compared to the training histograms using nearest neighbor techniques on the clustered data. Distances from the test histograms to the test distribution representatives are compared to a threshold to identify anomalies.
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公开(公告)号：EP2193478B1
公开(公告)日：2016-01-06
申请号：EP08836747.9
申请日：2008-09-25
申请人： Siemens Corporation
CPC分类号： G06K9/00536 , G06K9/6284
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公开(公告)号：EP1782142B1
公开(公告)日：2012-10-03
申请号：EP05788929.7
申请日：2005-08-25
发明人： YUAN, Chao , NEUBAUER, Claus , CATALTEPE, Zehra, Yard Doc Dr. Istanbul Technik Universitei. U , MCCORKLE, Wesley , BRUMMEL, Hans-Gerd , FANG, Ming
CPC分类号： G05B17/02 , G05B23/0243
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7.发明公开MULTIVARIATE ANALYSIS OF WIRELESS SENSOR NETWORK DATA FOR MACHINE CONDITION MONITORING 审中-公开无线电传感器网络数据监测机器状态多元分析
公开(公告)号：EP2206064A1
公开(公告)日：2010-07-14
申请号：EP08843688.6
申请日：2008-10-20
申请人： Siemens Corporation
IPC分类号： G06F19/00
CPC分类号： G06N7/005
摘要： Machine condition monitoring on a system utilizes a wireless sensor network to gather data from a large number of sensors. The data is processed using a multivariate statistical model to determine whether the system has deviated from a normal condition. The wireless sensor network permits the acquisition of a large number of distributed data points from plural system modalities, which, in turn, yields enhanced prediction accuracy and a reduction in false alarms.
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