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:
Aug. 10, 2021

Filed:

Aug. 29, 2019
Applicant:

Inventus Holdings, Llc, Juno Beach, FL (US);

Inventors:

James U. Morley, Port Saint Lucie, FL (US);

Dennis A. Moon, Grand Rapids, MN (US);

Lowell Crosby Savage, III, Woodbury, MN (US);

Sriharsha Veeramachaneni, Minneapolis, MN (US);

Raja D. Doake, Minneapolis, MN (US);

Richard Mack Argentieri, Inver Grove Heights, MN (US);

Assignee:

Inventus Holdings, LLC, Juno Beach, FL (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/04 (2006.01); G05B 23/02 (2006.01); H02J 3/38 (2006.01); G05B 19/048 (2006.01);
U.S. Cl.
CPC ...
G05B 13/048 (2013.01); G05B 19/048 (2013.01); G05B 23/0254 (2013.01); H02J 3/383 (2013.01);
Abstract

Systems and methods for monitoring an operational system. A data set with output power values and associated environmental data values for an electrical generation system are accumulated. Statistical relationships are determined for output power values and environmental data values. Outlying data is determined based on the statistical relationships and are removed from the data set to create selected data. A regression model is developed from the selected data to map predicted output power values to values of environmental data. Data with present output power values and present associated environmental data for the electrical generation system are later received. Predicted output power values are predicted by the regression model for the present associated environmental data. An output power discrepancy is identified by comparing the predicted output power to the present output power. A notification of an anomaly is provided based on identification of the output power discrepancy.


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