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公开(公告)号：EP1360557A2
公开(公告)日：2003-11-12
申请号：EP02717347.5
申请日：2002-01-18
发明人： WEGERICH, Stephan, W. , BELL, David, R. , XU, Xiao
IPC分类号： G05B13/02
CPC分类号： G05B23/0254 , G05B23/0297
摘要： An improved empirical model-based surveillance or control system for monitoring or controlling a process or machine (105) provides adaptation of the empirical model (117) in response to new operational states that are deemed normal or non-exceptional for the process or machine. An adaptation decision module (125) differentiates process or sensor upset requiring alerts from new operational states not yet modeled. A retraining module (128) updates the empirical model (117) to incorporate the new states, and a pruning technique optionally maintains the empirical model by removing older states in favor of the added new states recognized by the model.
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公开(公告)号：EP1279104A1
公开(公告)日：2003-01-29
申请号：EP01914775.0
申请日：2001-03-09
IPC分类号： G06F15/00
CPC分类号： G05B23/024 , G05B17/02
摘要： In a machine for monitoring an instrumented process or for analyzing one or more signals, an empirical modeling module for modeling non-linearly and linearly correlated signal inputs using a non-linear angular similarity function with variable sensitivity across the range of a signal input. A different angle-based similarity function can be chosen for different inputs for improved sensitivity particular to the behavior of that input. Sections of interest within a range of a signal input can be lensed for particular sensitivity.
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公开(公告)号：EP1264412B1
公开(公告)日：2008-07-02
申请号：EP01916499.5
申请日：2001-03-09
IPC分类号： G06K9/00
CPC分类号： G06K9/00536 , G06F19/00
摘要： A system, method and program product for monitoring a complex signal for ultrasensitive detection of state changes, or for signature recognition and classification is provided. A complex signal is decomposed periodically for empirical modeling. Wavelet analysis, frequency band filtering or other methods may be used to decompose the complex signal into components. A library of signature data may be referenced for selection of a recognized signature in the decomposed complex signal. The recognized signature may indicate data being carried in the complex signal. Estimated signal data may be generated for determination of an operational state of a monitored process or machine using a statistical hypothesis test with reference to the decomposed input signal.
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公开(公告)号：EP1393177A1
公开(公告)日：2004-03-03
申请号：EP02714744.6
申请日：2002-01-11
CPC分类号： G05B23/0254 , G05B23/0281 , G06K9/00536 , G06K9/6284
摘要： A system (902) for empirically diagnosing a condition of a monitored system (918). Estimates of monitored parameters (920) from a model of the system (922) provide residual values (924) that can be analyzed for failure mode signature recognition (916). Residual values can also be tested for alert (non-zero) conditions (927), and patterns of alerts (914) thus generated are anyalzed for failure mode signature patterns (916). The system (902) employs a similarity operator for signature recognition (916) and also for parameter estimation (924). Failure modes are empirically determined, and precursor data (930) is automatically analyzed to determine differentiable signatures for failure modes (916).
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公开(公告)号：EP1336081B1
公开(公告)日：2010-03-24
申请号：EP01985992.5
申请日：2001-11-21
CPC分类号： G05B17/02 , G01D3/08 , G01D21/00 , G05B23/0286
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公开(公告)号：EP1264412A2
公开(公告)日：2002-12-11
申请号：EP01916499.5
申请日：2001-03-09
IPC分类号： H04B1/00
CPC分类号： G06K9/00536 , G06F19/00
摘要： A system, method and program product for monitoring a complex signal for ultrasensitive detection of state changes, or for signature recognition and classification is provided. A complex signal is decomposed periodically for empirical modeling. Wavelet analysis, frequency band filtering or other methods may be used to decompose the complex signal into components. A library of signature data may be referenced for selection of a recognized signature in the decomposed complex signal. The recognized signature may indicate data being carried in the complex signal. Estimated signal data may be generated for determination of an operational state of a monitored process or machine using a statistical hypothesis test with reference to the decomposed input signal.
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公开(公告)号：EP1279104B1
公开(公告)日：2008-12-24
申请号：EP01914775.0
申请日：2001-03-09
IPC分类号： G06F15/00
CPC分类号： G05B23/024 , G05B17/02
摘要： In a machine for monitoring an instrumented process or for analyzing one or more signals, an empirical modeling module for modeling non-linearly and linearly correlated signal inputs using a non-linear angular similarity function with variable sensitivity across the range of a signal input. A different angle-based similarity function can be chosen for different inputs for improved sensitivity particular to the behavior of that input. Sections of interest within a range of a signal input can be lensed for particular sensitivity.
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公开(公告)号：EP1579288A3
公开(公告)日：2005-10-26
申请号：EP03781728.5
申请日：2003-11-03
发明人： WEGERICH, Stephan, W. , XU, Xaio
IPC分类号： G06F1/00
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公开(公告)号：EP1579288A2
公开(公告)日：2005-09-28
申请号：EP03781728.5
申请日：2003-11-03
发明人： WEGERICH, Stephan, W. , XU, Xaio
IPC分类号： G06F1/00
CPC分类号： G05B17/02 , G05B13/0275 , G05B23/0245 , G06F19/00
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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公开(公告)号：EP1336081A2
公开(公告)日：2003-08-20
申请号：EP01985992.5
申请日：2001-11-21
IPC分类号： G01D1/00
CPC分类号： G05B17/02 , G01D3/08 , G01D21/00 , G05B23/0286
摘要： An improved system and method for producing replacement sensor signals for failed sensors (150), and inferred sensor signals (160) for non-instrumented physical parameters, in processes and equipment having one or more sensors in place for monitoring physical parameters. A data history from a fully-instrumented prototype (110) provides a representative data set of anticipated operating parameters for forming an empirical model for generating 'virtual' signals for a process or machine in real-time. A memory (551) for storing the representative training set, or a transformation thereof, is coupled to a processor (545). The processor (545) receives from an input, data signals embodying real values from sensors on the process or machine. The processor (545) takes a set of readings of the actual sensors from the input, and generates an estimate of one or more desired inferred sensors, using a linear combination of the representative training set sensor data, as weighted by the result of a measure of similarity of the input data to the representative data.
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