The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 16, 2010

Filed:

May. 31, 2006
Applicants:

Girija Parthasarathy, Maple Grove, MN (US);

Lawrence A. Lem, Redondo Beach, CA (US);

Brian G. Hosler, Georgetown, CA;

Sunil K. Menon, Golden Valley, MN (US);

Inventors:

Girija Parthasarathy, Maple Grove, MN (US);

Lawrence A. Lem, Redondo Beach, CA (US);

Brian G. Hosler, Georgetown, CA;

Sunil K. Menon, Golden Valley, MN (US);

Assignee:

Honeywell International Inc., Morristown, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05B 13/00 (2006.01);
U.S. Cl.
CPC ...
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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