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:
Apr. 04, 2023

Filed:

May. 06, 2020
Applicants:

Sunil Srinivasa Manjanbail Rao, Tempe, AZ (US);

Andreas Spanias, Tempe, AZ (US);

Cihan Tepedelenlioglu, Chandler, AZ (US);

Inventors:

Sunil Srinivasa Manjanbail Rao, Tempe, AZ (US);

Andreas Spanias, Tempe, AZ (US);

Cihan Tepedelenlioglu, Chandler, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/28 (2006.01); H02S 50/10 (2014.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
H02S 50/10 (2014.12); G01R 31/2846 (2013.01); G06N 3/084 (2013.01);
Abstract

Solar array fault detection, classification, and localization using deep neural nets is provided. A fault-identifying neural network uses a cyber-physical system (CPS) approach to fault detection in photovoltaic (PV) arrays. Customized neural network algorithms are deployed in feedforward neural networks for fault detection and identification from monitoring devices that sense data and actuate each individual module in a PV array. This approach improves efficiency by detecting and classifying a wide variety of faults and commonly occurring conditions (e.g., eight faults/conditions concurrently) that affect power output in utility scale PV arrays.


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