INSPECTION METHOD FOR LITHIUM SECONDARY BATTERY
An inspection method for a lithium secondary battery can improve the reliability, accuracy, and reproducibility of inspection results by advancing a learning of an artificial neural network according to one or more divided regions of one or more surfaces of the lithium secondary battery and one or m...
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creator | HONG, Seung Gyun LEE, Jong Myung |
description | An inspection method for a lithium secondary battery can improve the reliability, accuracy, and reproducibility of inspection results by advancing a learning of an artificial neural network according to one or more divided regions of one or more surfaces of the lithium secondary battery and one or more types of defects occurring in each region. |
format | Patent |
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CALCULATING ; COMPUTING ; COUNTING ; ELECTRICITY ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231012&DB=EPODOC&CC=US&NR=2023327222A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231012&DB=EPODOC&CC=US&NR=2023327222A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HONG, Seung Gyun</creatorcontrib><creatorcontrib>LEE, Jong Myung</creatorcontrib><title>INSPECTION METHOD FOR LITHIUM SECONDARY BATTERY</title><description>An inspection method for a lithium secondary battery can improve the reliability, accuracy, and reproducibility of inspection results by advancing a learning of an artificial neural network according to one or more divided regions of one or more surfaces of the lithium secondary battery and one or more types of defects occurring in each region.</description><subject>BASIC ELECTRIC ELEMENTS</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRICITY</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZND39AsOcHUO8fT3U_B1DfHwd1Fw8w9S8PEM8fAM9VUIdnX293NxDIpUcHIMCXENiuRhYE1LzClO5YXS3AzKbq4hzh66qQX58anFBYnJqXmpJfGhwUYGRsbGRuZGRkaOhsbEqQIAuTsnHw</recordid><startdate>20231012</startdate><enddate>20231012</enddate><creator>HONG, Seung Gyun</creator><creator>LEE, Jong Myung</creator><scope>EVB</scope></search><sort><creationdate>20231012</creationdate><title>INSPECTION METHOD FOR LITHIUM SECONDARY BATTERY</title><author>HONG, Seung Gyun ; 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subjects | BASIC ELECTRIC ELEMENTS CALCULATING COMPUTING COUNTING ELECTRICITY IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY |
title | INSPECTION METHOD FOR LITHIUM SECONDARY BATTERY |
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