Mechanical arm vibration suppression method and device based on deep learning, equipment and medium

The invention discloses a mechanical arm vibration suppression method, device and equipment based on deep learning and a medium, and relates to the technical field of industrial robots, and the mechanical arm vibration suppression method based on deep learning comprises the steps that state data of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHANG JIANMIN, ZHANG YI, ZHAO WEIFENG, WAN YUNHUI, HE JUEXING
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator ZHANG JIANMIN
ZHANG YI
ZHAO WEIFENG
WAN YUNHUI
HE JUEXING
description The invention discloses a mechanical arm vibration suppression method, device and equipment based on deep learning and a medium, and relates to the technical field of industrial robots, and the mechanical arm vibration suppression method based on deep learning comprises the steps that state data of all rotating shafts of a mechanical arm are collected; the state data are input into a target state detection model to judge whether abnormal vibration exists in the mechanical arm or not, and the target state detection model is obtained through training according to multiple sets of state data with state labels; if abnormal vibration exists in the mechanical arm, the state data are input into a target vibration detection model to obtain a vibration label, and the target vibration detection model is obtained through training according to the state data corresponding to the mechanical arm in multiple sets of abnormal vibration states; and a corresponding vibration compensation signal is inquired according to the vib
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116277040A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116277040A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116277040A3</originalsourceid><addsrcrecordid>eNqNir0KwkAQBtNYiPoOa6-QqJhagmKjlX3Y3H2ahdzmvLvk-f3BB7CagZlpZi4wLasY7oiDo1GawEl6pTh4HxDjxx1S21titWQxigE1HGHpnSzgqQMHFX2sCM9BvIOm7-xgZXDzbHLnLmLx4yxbno636ryG72tEzwaKVFfXothvyjLf5YftP88Lk5A-Rg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Mechanical arm vibration suppression method and device based on deep learning, equipment and medium</title><source>esp@cenet</source><creator>ZHANG JIANMIN ; ZHANG YI ; ZHAO WEIFENG ; WAN YUNHUI ; HE JUEXING</creator><creatorcontrib>ZHANG JIANMIN ; ZHANG YI ; ZHAO WEIFENG ; WAN YUNHUI ; HE JUEXING</creatorcontrib><description>The invention discloses a mechanical arm vibration suppression method, device and equipment based on deep learning and a medium, and relates to the technical field of industrial robots, and the mechanical arm vibration suppression method based on deep learning comprises the steps that state data of all rotating shafts of a mechanical arm are collected; the state data are input into a target state detection model to judge whether abnormal vibration exists in the mechanical arm or not, and the target state detection model is obtained through training according to multiple sets of state data with state labels; if abnormal vibration exists in the mechanical arm, the state data are input into a target vibration detection model to obtain a vibration label, and the target vibration detection model is obtained through training according to the state data corresponding to the mechanical arm in multiple sets of abnormal vibration states; and a corresponding vibration compensation signal is inquired according to the vib</description><language>chi ; eng</language><subject>CHAMBERS PROVIDED WITH MANIPULATION DEVICES ; HAND TOOLS ; MANIPULATORS ; PERFORMING OPERATIONS ; PORTABLE POWER-DRIVEN TOOLS ; TRANSPORTING</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&amp;date=20230623&amp;DB=EPODOC&amp;CC=CN&amp;NR=116277040A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230623&amp;DB=EPODOC&amp;CC=CN&amp;NR=116277040A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG JIANMIN</creatorcontrib><creatorcontrib>ZHANG YI</creatorcontrib><creatorcontrib>ZHAO WEIFENG</creatorcontrib><creatorcontrib>WAN YUNHUI</creatorcontrib><creatorcontrib>HE JUEXING</creatorcontrib><title>Mechanical arm vibration suppression method and device based on deep learning, equipment and medium</title><description>The invention discloses a mechanical arm vibration suppression method, device and equipment based on deep learning and a medium, and relates to the technical field of industrial robots, and the mechanical arm vibration suppression method based on deep learning comprises the steps that state data of all rotating shafts of a mechanical arm are collected; the state data are input into a target state detection model to judge whether abnormal vibration exists in the mechanical arm or not, and the target state detection model is obtained through training according to multiple sets of state data with state labels; if abnormal vibration exists in the mechanical arm, the state data are input into a target vibration detection model to obtain a vibration label, and the target vibration detection model is obtained through training according to the state data corresponding to the mechanical arm in multiple sets of abnormal vibration states; and a corresponding vibration compensation signal is inquired according to the vib</description><subject>CHAMBERS PROVIDED WITH MANIPULATION DEVICES</subject><subject>HAND TOOLS</subject><subject>MANIPULATORS</subject><subject>PERFORMING OPERATIONS</subject><subject>PORTABLE POWER-DRIVEN TOOLS</subject><subject>TRANSPORTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNir0KwkAQBtNYiPoOa6-QqJhagmKjlX3Y3H2ahdzmvLvk-f3BB7CagZlpZi4wLasY7oiDo1GawEl6pTh4HxDjxx1S21titWQxigE1HGHpnSzgqQMHFX2sCM9BvIOm7-xgZXDzbHLnLmLx4yxbno636ryG72tEzwaKVFfXothvyjLf5YftP88Lk5A-Rg</recordid><startdate>20230623</startdate><enddate>20230623</enddate><creator>ZHANG JIANMIN</creator><creator>ZHANG YI</creator><creator>ZHAO WEIFENG</creator><creator>WAN YUNHUI</creator><creator>HE JUEXING</creator><scope>EVB</scope></search><sort><creationdate>20230623</creationdate><title>Mechanical arm vibration suppression method and device based on deep learning, equipment and medium</title><author>ZHANG JIANMIN ; ZHANG YI ; ZHAO WEIFENG ; WAN YUNHUI ; HE JUEXING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116277040A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CHAMBERS PROVIDED WITH MANIPULATION DEVICES</topic><topic>HAND TOOLS</topic><topic>MANIPULATORS</topic><topic>PERFORMING OPERATIONS</topic><topic>PORTABLE POWER-DRIVEN TOOLS</topic><topic>TRANSPORTING</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG JIANMIN</creatorcontrib><creatorcontrib>ZHANG YI</creatorcontrib><creatorcontrib>ZHAO WEIFENG</creatorcontrib><creatorcontrib>WAN YUNHUI</creatorcontrib><creatorcontrib>HE JUEXING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG JIANMIN</au><au>ZHANG YI</au><au>ZHAO WEIFENG</au><au>WAN YUNHUI</au><au>HE JUEXING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Mechanical arm vibration suppression method and device based on deep learning, equipment and medium</title><date>2023-06-23</date><risdate>2023</risdate><abstract>The invention discloses a mechanical arm vibration suppression method, device and equipment based on deep learning and a medium, and relates to the technical field of industrial robots, and the mechanical arm vibration suppression method based on deep learning comprises the steps that state data of all rotating shafts of a mechanical arm are collected; the state data are input into a target state detection model to judge whether abnormal vibration exists in the mechanical arm or not, and the target state detection model is obtained through training according to multiple sets of state data with state labels; if abnormal vibration exists in the mechanical arm, the state data are input into a target vibration detection model to obtain a vibration label, and the target vibration detection model is obtained through training according to the state data corresponding to the mechanical arm in multiple sets of abnormal vibration states; and a corresponding vibration compensation signal is inquired according to the vib</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116277040A
source esp@cenet
subjects CHAMBERS PROVIDED WITH MANIPULATION DEVICES
HAND TOOLS
MANIPULATORS
PERFORMING OPERATIONS
PORTABLE POWER-DRIVEN TOOLS
TRANSPORTING
title Mechanical arm vibration suppression method and device based on deep learning, equipment and medium
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T05%3A42%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=ZHANG%20JIANMIN&rft.date=2023-06-23&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116277040A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true