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.
Patent No.:
Date of Patent:
Jul. 15, 2025
Filed:
Apr. 07, 2022
Cdm Smith Inc., Boston, MA (US);
David L. Ubert, Sorrento, FL (US);
Patrick R. McCafferty, Hanover, MA (US);
Janardhanan Vinoth Upendra, Chennai, IN;
Zubair F. Ghafoor, Aurora, IL (US);
T Sai Revanth, Jawaharnagar, IN;
CDM SMITH INC., Boston, MA (US);
Abstract
Embodiments provide functionality to control real-world mechanical systems through the creation and deployment of machine learning models. An embodiment creates the machine learning model by extracting (i) an indication of efficiency and (ii) values of operational characteristics of one or more devices from one or more characteristic curves. Each characteristic curve corresponds to a respective device of one or more devices, in a mechanical system, functioning at a given speed. A training data set is created by determining efficiency and values of the operational characteristics for the mechanical system functioning with multiple combinations of the one or more devices operating at each of a plurality of speeds using the extracted indication of efficiency and extracted values of the operational characteristics. In turn, the machine learning model is trained with the created training dataset. Training configures the machine learning model to predict efficiency of the mechanical system based on operating data.