Decision tree algorithm-based transformer chromatographic peak qualitative method and system

The invention discloses a decision tree algorithm-based transformer chromatographic peak qualitative method and system. The method comprises the following steps of: S10, data preparation and selection: a training sample set, a test sample set and a feature attribute set are extracted from an on-site...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: SHAN JIE, CHEN HAOMIN, BU GUANNAN, ZHANG ZHENGGUO
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 SHAN JIE
CHEN HAOMIN
BU GUANNAN
ZHANG ZHENGGUO
description The invention discloses a decision tree algorithm-based transformer chromatographic peak qualitative method and system. The method comprises the following steps of: S10, data preparation and selection: a training sample set, a test sample set and a feature attribute set are extracted from an on-site transformer oil chromatography online monitoring device; S20, decision tree model construction: thetraining sample set is trained with a decision tree algorithm, and a decision tree is constructed, a construction process comprises the feature attribute threshold adaptation of the training sample set, the selection of decision tree node feature attributes and the formation of the decision tree on the basis of feature attribute thresholds and node feature attribute recursion; and S30, result testing: the decision tree is tested with the test sample set, whether a result meets a preset standard or not is checked, and if the result meets the preset standard, and the decision tree is used for transformer chromatographi
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN110632191A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN110632191A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN110632191A3</originalsourceid><addsrcrecordid>eNqNyrEKwjAQgOEuDqK-w_kABWNBcJSqODk5CuVMr00wycXcKfj2OvgATj98_NPquifrxXMCLUSAYeTi1cX6hkL9FzHJwCVSAesKR1QeC2bnLWTCOzyeGLyi-hdBJHXcA6Ye5C1KcV5NBgxCi19n1fJ4uLSnmjJ3JBktJdKuPRuz2jRrszW75p_nAy25PLU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Decision tree algorithm-based transformer chromatographic peak qualitative method and system</title><source>esp@cenet</source><creator>SHAN JIE ; CHEN HAOMIN ; BU GUANNAN ; ZHANG ZHENGGUO</creator><creatorcontrib>SHAN JIE ; CHEN HAOMIN ; BU GUANNAN ; ZHANG ZHENGGUO</creatorcontrib><description>The invention discloses a decision tree algorithm-based transformer chromatographic peak qualitative method and system. The method comprises the following steps of: S10, data preparation and selection: a training sample set, a test sample set and a feature attribute set are extracted from an on-site transformer oil chromatography online monitoring device; S20, decision tree model construction: thetraining sample set is trained with a decision tree algorithm, and a decision tree is constructed, a construction process comprises the feature attribute threshold adaptation of the training sample set, the selection of decision tree node feature attributes and the formation of the decision tree on the basis of feature attribute thresholds and node feature attribute recursion; and S30, result testing: the decision tree is tested with the test sample set, whether a result meets a preset standard or not is checked, and if the result meets the preset standard, and the decision tree is used for transformer chromatographi</description><language>chi ; eng</language><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; 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&amp;date=20191231&amp;DB=EPODOC&amp;CC=CN&amp;NR=110632191A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20191231&amp;DB=EPODOC&amp;CC=CN&amp;NR=110632191A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SHAN JIE</creatorcontrib><creatorcontrib>CHEN HAOMIN</creatorcontrib><creatorcontrib>BU GUANNAN</creatorcontrib><creatorcontrib>ZHANG ZHENGGUO</creatorcontrib><title>Decision tree algorithm-based transformer chromatographic peak qualitative method and system</title><description>The invention discloses a decision tree algorithm-based transformer chromatographic peak qualitative method and system. The method comprises the following steps of: S10, data preparation and selection: a training sample set, a test sample set and a feature attribute set are extracted from an on-site transformer oil chromatography online monitoring device; S20, decision tree model construction: thetraining sample set is trained with a decision tree algorithm, and a decision tree is constructed, a construction process comprises the feature attribute threshold adaptation of the training sample set, the selection of decision tree node feature attributes and the formation of the decision tree on the basis of feature attribute thresholds and node feature attribute recursion; and S30, result testing: the decision tree is tested with the test sample set, whether a result meets a preset standard or not is checked, and if the result meets the preset standard, and the decision tree is used for transformer chromatographi</description><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAQgOEuDqK-w_kABWNBcJSqODk5CuVMr00wycXcKfj2OvgATj98_NPquifrxXMCLUSAYeTi1cX6hkL9FzHJwCVSAesKR1QeC2bnLWTCOzyeGLyi-hdBJHXcA6Ye5C1KcV5NBgxCi19n1fJ4uLSnmjJ3JBktJdKuPRuz2jRrszW75p_nAy25PLU</recordid><startdate>20191231</startdate><enddate>20191231</enddate><creator>SHAN JIE</creator><creator>CHEN HAOMIN</creator><creator>BU GUANNAN</creator><creator>ZHANG ZHENGGUO</creator><scope>EVB</scope></search><sort><creationdate>20191231</creationdate><title>Decision tree algorithm-based transformer chromatographic peak qualitative method and system</title><author>SHAN JIE ; CHEN HAOMIN ; BU GUANNAN ; ZHANG ZHENGGUO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110632191A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>SHAN JIE</creatorcontrib><creatorcontrib>CHEN HAOMIN</creatorcontrib><creatorcontrib>BU GUANNAN</creatorcontrib><creatorcontrib>ZHANG ZHENGGUO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SHAN JIE</au><au>CHEN HAOMIN</au><au>BU GUANNAN</au><au>ZHANG ZHENGGUO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Decision tree algorithm-based transformer chromatographic peak qualitative method and system</title><date>2019-12-31</date><risdate>2019</risdate><abstract>The invention discloses a decision tree algorithm-based transformer chromatographic peak qualitative method and system. The method comprises the following steps of: S10, data preparation and selection: a training sample set, a test sample set and a feature attribute set are extracted from an on-site transformer oil chromatography online monitoring device; S20, decision tree model construction: thetraining sample set is trained with a decision tree algorithm, and a decision tree is constructed, a construction process comprises the feature attribute threshold adaptation of the training sample set, the selection of decision tree node feature attributes and the formation of the decision tree on the basis of feature attribute thresholds and node feature attribute recursion; and S30, result testing: the decision tree is tested with the test sample set, whether a result meets a preset standard or not is checked, and if the result meets the preset standard, and the decision tree is used for transformer chromatographi</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN110632191A
source esp@cenet
subjects INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
TESTING
title Decision tree algorithm-based transformer chromatographic peak qualitative method and system
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T23%3A07%3A39IST&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=SHAN%20JIE&rft.date=2019-12-31&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN110632191A%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