Intelligent fault diagnosis system for multiple motors based on VxWorks platform
The invention relates to an intelligent fault diagnosis system suitable for a plurality of motors based on a VxWorks platform. The system is characterized in that corresponding sensors are installed on different monitoring parts according to the type of motor to acquire feature quantities (such as c...
Gespeichert in:
Hauptverfasser: | , , , , , , , |
---|---|
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 | LI ZHIJUN CAO LINGYAN ZONG QIZHEN LU YINGQIANG XU LEI CHEN GUO DING LIHUA SONG YAN |
description | The invention relates to an intelligent fault diagnosis system suitable for a plurality of motors based on a VxWorks platform. The system is characterized in that corresponding sensors are installed on different monitoring parts according to the type of motor to acquire feature quantities (such as current signals, vibration signals, temperature signals and acceleration signals) of various types ofmotors in multiple channels. After the fusion of various feature quantities, a comprehensive fault diagnosis method based on random forest, ant colony optimization least squares support vector machine, optimal binary tree and case reasoning are used to improve the accuracy of the fault diagnosis, and generate a fault diagnosis report. The intelligent fault diagnosis system suitable for the plurality of motors based on the VxWorks platform is easy to install and maintain, adopts an operating system with high reliability, tailorability and high real-time performance, has WebServer service, supports various communicatio |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN109557467A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN109557467A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN109557467A3</originalsourceid><addsrcrecordid>eNqNyrEOAUEQgOFrFIJ3GA8gIZyLUi6ERhRCeRlu9rIxu7PZGQlv7woPoPqL_xsW52M0YvYdRQOHLzZoPXZR1CvoR40COMkQ-uMTEwQxyQp3VGpBIlzfN8lPhcRoPQzjYuCQlSa_jorpfnepDzNK0pAmfFAka-rTYr4py2q1rrbLf8wX8qk4DA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Intelligent fault diagnosis system for multiple motors based on VxWorks platform</title><source>esp@cenet</source><creator>LI ZHIJUN ; CAO LINGYAN ; ZONG QIZHEN ; LU YINGQIANG ; XU LEI ; CHEN GUO ; DING LIHUA ; SONG YAN</creator><creatorcontrib>LI ZHIJUN ; CAO LINGYAN ; ZONG QIZHEN ; LU YINGQIANG ; XU LEI ; CHEN GUO ; DING LIHUA ; SONG YAN</creatorcontrib><description>The invention relates to an intelligent fault diagnosis system suitable for a plurality of motors based on a VxWorks platform. The system is characterized in that corresponding sensors are installed on different monitoring parts according to the type of motor to acquire feature quantities (such as current signals, vibration signals, temperature signals and acceleration signals) of various types ofmotors in multiple channels. After the fusion of various feature quantities, a comprehensive fault diagnosis method based on random forest, ant colony optimization least squares support vector machine, optimal binary tree and case reasoning are used to improve the accuracy of the fault diagnosis, and generate a fault diagnosis report. The intelligent fault diagnosis system suitable for the plurality of motors based on the VxWorks platform is easy to install and maintain, adopts an operating system with high reliability, tailorability and high real-time performance, has WebServer service, supports various communicatio</description><language>chi ; eng</language><subject>MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; PHYSICS ; TESTING</subject><creationdate>2019</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=20190402&DB=EPODOC&CC=CN&NR=109557467A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190402&DB=EPODOC&CC=CN&NR=109557467A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI ZHIJUN</creatorcontrib><creatorcontrib>CAO LINGYAN</creatorcontrib><creatorcontrib>ZONG QIZHEN</creatorcontrib><creatorcontrib>LU YINGQIANG</creatorcontrib><creatorcontrib>XU LEI</creatorcontrib><creatorcontrib>CHEN GUO</creatorcontrib><creatorcontrib>DING LIHUA</creatorcontrib><creatorcontrib>SONG YAN</creatorcontrib><title>Intelligent fault diagnosis system for multiple motors based on VxWorks platform</title><description>The invention relates to an intelligent fault diagnosis system suitable for a plurality of motors based on a VxWorks platform. The system is characterized in that corresponding sensors are installed on different monitoring parts according to the type of motor to acquire feature quantities (such as current signals, vibration signals, temperature signals and acceleration signals) of various types ofmotors in multiple channels. After the fusion of various feature quantities, a comprehensive fault diagnosis method based on random forest, ant colony optimization least squares support vector machine, optimal binary tree and case reasoning are used to improve the accuracy of the fault diagnosis, and generate a fault diagnosis report. The intelligent fault diagnosis system suitable for the plurality of motors based on the VxWorks platform is easy to install and maintain, adopts an operating system with high reliability, tailorability and high real-time performance, has WebServer service, supports various communicatio</description><subject>MEASURING</subject><subject>MEASURING ELECTRIC VARIABLES</subject><subject>MEASURING MAGNETIC VARIABLES</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEOAUEQgOFrFIJ3GA8gIZyLUi6ERhRCeRlu9rIxu7PZGQlv7woPoPqL_xsW52M0YvYdRQOHLzZoPXZR1CvoR40COMkQ-uMTEwQxyQp3VGpBIlzfN8lPhcRoPQzjYuCQlSa_jorpfnepDzNK0pAmfFAka-rTYr4py2q1rrbLf8wX8qk4DA</recordid><startdate>20190402</startdate><enddate>20190402</enddate><creator>LI ZHIJUN</creator><creator>CAO LINGYAN</creator><creator>ZONG QIZHEN</creator><creator>LU YINGQIANG</creator><creator>XU LEI</creator><creator>CHEN GUO</creator><creator>DING LIHUA</creator><creator>SONG YAN</creator><scope>EVB</scope></search><sort><creationdate>20190402</creationdate><title>Intelligent fault diagnosis system for multiple motors based on VxWorks platform</title><author>LI ZHIJUN ; CAO LINGYAN ; ZONG QIZHEN ; LU YINGQIANG ; XU LEI ; CHEN GUO ; DING LIHUA ; SONG YAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN109557467A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>MEASURING</topic><topic>MEASURING ELECTRIC VARIABLES</topic><topic>MEASURING MAGNETIC VARIABLES</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>LI ZHIJUN</creatorcontrib><creatorcontrib>CAO LINGYAN</creatorcontrib><creatorcontrib>ZONG QIZHEN</creatorcontrib><creatorcontrib>LU YINGQIANG</creatorcontrib><creatorcontrib>XU LEI</creatorcontrib><creatorcontrib>CHEN GUO</creatorcontrib><creatorcontrib>DING LIHUA</creatorcontrib><creatorcontrib>SONG YAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI ZHIJUN</au><au>CAO LINGYAN</au><au>ZONG QIZHEN</au><au>LU YINGQIANG</au><au>XU LEI</au><au>CHEN GUO</au><au>DING LIHUA</au><au>SONG YAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Intelligent fault diagnosis system for multiple motors based on VxWorks platform</title><date>2019-04-02</date><risdate>2019</risdate><abstract>The invention relates to an intelligent fault diagnosis system suitable for a plurality of motors based on a VxWorks platform. The system is characterized in that corresponding sensors are installed on different monitoring parts according to the type of motor to acquire feature quantities (such as current signals, vibration signals, temperature signals and acceleration signals) of various types ofmotors in multiple channels. After the fusion of various feature quantities, a comprehensive fault diagnosis method based on random forest, ant colony optimization least squares support vector machine, optimal binary tree and case reasoning are used to improve the accuracy of the fault diagnosis, and generate a fault diagnosis report. The intelligent fault diagnosis system suitable for the plurality of motors based on the VxWorks platform is easy to install and maintain, adopts an operating system with high reliability, tailorability and high real-time performance, has WebServer service, supports various communicatio</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN109557467A |
source | esp@cenet |
subjects | MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS TESTING |
title | Intelligent fault diagnosis system for multiple motors based on VxWorks platform |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T09%3A26%3A14IST&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=LI%20ZHIJUN&rft.date=2019-04-02&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN109557467A%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 |