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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.:

US 11255034 B1

PDFFull Text
Date of Patent:
Feb. 22, 2022

Filed:

Sep. 05, 2019

Method, device, and system for detecting dynamic imbalance of washing machine

Applicant:

Lg Electronics Inc., Seoul, KR;

Inventors:

Ju Hyoung Lee, Seoul, KR;

Bon Kwon Koo, Seoul, KR;

Sang Hyun Lee, Seoul, KR;

Hyun Ji Park, Seoul, KR;

Assignee:

LG ELECTRONICS INC., Seoul, KR;

Attorney:

Birch, Stewart, Kolasch & Birch, LLP

Primary Examiner:

Benjamin L Osterhout

Assistant Examiner:

Pallavi Chitta

Int. Cl.
CPC ...
D06F 37/20 (2006.01); D06F 33/02 (2006.01); D06F 33/48 (2020.01); D06F 34/16 (2020.01); D06F 103/26 (2020.01); D06F 105/58 (2020.01); D06F 33/76 (2020.01); D06F 34/05 (2020.01); D06F 34/32 (2020.01); D06F 101/00 (2020.01); D06F 39/12 (2006.01);
U.S. Cl.
CPC ...
D06F 33/48 (2020.02); D06F 34/16 (2020.02); D06F 33/76 (2020.02); D06F 34/05 (2020.02); D06F 34/32 (2020.02); D06F 39/125 (2013.01); D06F 2101/00 (2020.02); D06F 2103/26 (2020.02); D06F 2105/58 (2020.02);
Abstract

A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

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