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:
May. 17, 2011
Filed:
Jul. 23, 2008
Roger N. Anderson, New York, NY (US);
Albert Boulanger, New York, NY (US);
David L. Waltz, Princeton, NJ (US);
Phil Long, Palo Alto, CA (US);
Marta Arias, Barcelona, ES;
Philip Gross, New York, NY (US);
Hila Becker, Plainview, NY (US);
Arthur Kressner, New York, NY (US);
Mark Mastrocinque, East Northport, NY (US);
Matthew Koenig, Valley Stream, NY (US);
John A. Johnson, Belle Harbor, NY (US);
Roger N. Anderson, New York, NY (US);
Albert Boulanger, New York, NY (US);
David L. Waltz, Princeton, NJ (US);
Phil Long, Palo Alto, CA (US);
Marta Arias, Barcelona, ES;
Philip Gross, New York, NY (US);
Hila Becker, Plainview, NY (US);
Arthur Kressner, New York, NY (US);
Mark Mastrocinque, East Northport, NY (US);
Matthew Koenig, Valley Stream, NY (US);
John A. Johnson, Belle Harbor, NY (US);
The Trustess of Columbia University in the City of New York, NY, NY (US);
Consolidated Edison of New York, Inc., NY, NY (US);
Abstract
A machine learning system creates failure-susceptibility rankings for feeder cables in a utility's electrical distribution system. The machine learning system employs martingale boosting algorithms and Support Vector Machine (SVM) algorithms to generate a feeder failure prediction model, which is trained on static and dynamic feeder attribute data. Feeders are dynamically ranked by failure susceptibility and the rankings displayed to utility operators and engineers so that they can proactively service the distribution system to prevent local power outages. The feeder rankings may be used to redirect power flows and to prioritize repairs. A feedback loop is established to evaluate the responses of the electrical distribution system to field actions taken to optimize preventive maintenance programs.