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:
Jun. 30, 2020
Filed:
May. 17, 2018
Applicant:
Ifp Energies Nouvelles, Rueil-Malmaison, FR;
Inventors:
Hoai-Nam Nguyen, Lyons, FR;
Paolino Tona, Lyons, FR;
Assignee:
IFP ENERGIES NOUVELLES, Rueil-Malmaison, FR;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F03B 13/14 (2006.01); F03B 13/16 (2006.01); F03B 13/08 (2006.01); F03B 15/04 (2006.01); G01C 13/00 (2006.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
F03B 13/14 (2013.01); F03B 13/08 (2013.01); F03B 13/16 (2013.01); F03B 15/04 (2013.01); G01C 13/004 (2013.01); G06F 17/18 (2013.01); F05B 2240/95 (2013.01); F05B 2260/821 (2013.01); F05B 2260/8211 (2013.01); Y02B 10/30 (2013.01); Y02E 10/38 (2013.01);
Abstract
The present invention relates to a method allowing short-term prediction of the wave motion (force, elevation, . . . ), from a time series of past wave measurements. The prediction method according to the invention is based on the estimation of the variable coefficients of an autoregressive model while allowing multi-step minimization, that is over a horizon of several time steps in the future, of the prediction error.
Nguyen, Hoai-Nam. (2020). Method for predicting a characteristic resulting from the swell on a floating system for at least two future time steps (U.S. Patent No. 10697422). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10697422
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile