Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system – Mechanical
Reexamination Certificate
2007-05-08
2007-05-08
Ferris, Fred (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Simulating nonelectrical device or system
Mechanical
C703S002000, C703S006000, C700S044000, C700S048000, C700S279000, C701S100000, C701S104000, C701S106000
Reexamination Certificate
active
10132108
ABSTRACT:
The present invention relates to a system and a method for developing an engine model. The system broadly comprises a module for generating a state variable model of an engine, which module receives a plurality of inputs to an engine representative of a particular flight condition and generates a set of estimated engine parameters representative of the model. The system further comprises a comparator for comparing the set of estimated engine parameters to a set of measured engine parameters for generating a set of residuals and an artificial neural network module to be trained and to be used in an implementation configuration after training has been completed. The artificial neural network receives the set of residuals and the engine inputs during a training phase and generates a set of estimated residuals representative of the engine condition.
REFERENCES:
patent: 4411595 (1983-10-01), Pisano
patent: 5925089 (1999-07-01), Fujime
patent: 6063129 (2000-05-01), Dadd et al.
patent: 6216083 (2001-04-01), Ulyanov et al.
patent: 6301572 (2001-10-01), Harrison
patent: 6304835 (2001-10-01), Hiramatsu et al.
patent: 6415272 (2002-07-01), Ulyanov
patent: 6609060 (2003-08-01), Ulyanov et al.
patent: 6718252 (2004-04-01), Kawai et al.
patent: 6823675 (2004-11-01), Brunell et al.
patent: 6909960 (2005-06-01), Volponi et al.
patent: 6985781 (2006-01-01), Keeler et al.
patent: 7020595 (2006-03-01), Adibhatla et al.
patent: 7058556 (2006-06-01), Desai et al.
patent: 2002/0049526 (2002-04-01), Kawai et al.
patent: 2002/0087221 (2002-07-01), Keeler et al.
patent: 2003/0074171 (2003-04-01), Desai et al.
patent: 2003/0115037 (2003-06-01), Sumida
patent: 2005/0149234 (2005-07-01), Vian et al.
patent: 02266282 (1999-03-01), None
patent: 2001-174366 (2001-06-01), None
“Neural Modeling of Dynamic Systems with Nonmeasurable State Variables”, Alippi et al, IEEE Transactions on Instrumentation and Measurement, vol. 48, No. 6, 1999.
“Using Neural Networks for Sensor Validation”, Mattern et al, NASA /TM-1998-208483, AIAA-98-3547, 1998.
“Neural Network Based Modeling of a Large Steam Turbine-Generator Rotor Body Parameters fro On-line Distributed Data” Karayaka et al, IEEE Transactions of Energy Conversion, vol. 16, No. 4, Dec. 2001.
Bachman & LaPointe
Ferris Fred
United Technologies Corporation
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