Neural network based refrigerant charge detection algorithm for vapor compression systems
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United States of America Patent
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Mar 16, 2010
Grant Date -
Dec 6, 2007
app pub date -
May 31, 2006
filing date -
May 31, 2006
priority date (Note) -
Expired
status (Latency Note)
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Abstract
Methods and apparatus are provided for determining refrigerant charge in a vapor compressor system (VCS) of an aircraft. The methods and apparatus comprise the following steps of, and/or means for, generating a data set from historical data representative of a plurality of VCS operating conditions over time, identifying one or more steady-state data points in the generated data set, forming a revised data set that includes at least the steady-state data points, using principal components analysis (PCA) to derive values for a plurality of minimally correlated input variables, supplying the derived values for the plurality of minimally correlated input variables and the corresponding values for the VCS refrigerant charge in the revised data set to a nonlinear neural network model, and deriving a simulator model characterizing a relationship between the plurality of minimally correlated input variables and the VCS refrigerant charge.
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