Oil immersed transformer fault detection method based on gas on oil surface

The invention provides an oil-immersed transformer fault detection method based on gas on an oil surface, and belongs to the technical field of oil-immersed transformer fault detection.The method comprises the steps that historical operation parameters and internal gas data of an oil-immersed transf...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHANG PENGCHENG, LI XIUGUANG, ZHOU XIU, HE NINGHUI, XIANG ZHONGHUA, LUO YAN, DING PEI, TIAN TIAN, BAI TAO, MA YUNLONG, LIU NINGBO
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 PENGCHENG
LI XIUGUANG
ZHOU XIU
HE NINGHUI
XIANG ZHONGHUA
LUO YAN
DING PEI
TIAN TIAN
BAI TAO
MA YUNLONG
LIU NINGBO
description The invention provides an oil-immersed transformer fault detection method based on gas on an oil surface, and belongs to the technical field of oil-immersed transformer fault detection.The method comprises the steps that historical operation parameters and internal gas data of an oil-immersed transformer are collected in real time, and a mathematical model of the operation state and gas concentration change of the transformer is established; and the incidence relation between the two is analyzed, and a gas-operation parameter change matrix is constructed. A training set is established based on data of a fault-free transformer and a known fault transformer, and a neural network model capable of identifying the fault type of the to-be-detected transformer is trained. And finally, carrying out real-time monitoring and fault diagnosis on the to-be-detected transformer. According to the method, internal data of the transformer are fully utilized, a complete fault diagnosis system is established, and the technical
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118861662A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118861662A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118861662A3</originalsourceid><addsrcrecordid>eNrjZPD2z8xRyMzNTS0qTk1RKClKzCtOyy8CchXSEktzShRSUktSk0sy8_MUclNLMvJTFJISQQqB_PTEYhCVD9RfXFqUlpicysPAmpaYU5zKC6W5GRTdXEOcPXRTC_LjU4sLgEryUkvinf0MDS0szAzNzIwcjYlRAwBVbzVK</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Oil immersed transformer fault detection method based on gas on oil surface</title><source>esp@cenet</source><creator>ZHANG PENGCHENG ; LI XIUGUANG ; ZHOU XIU ; HE NINGHUI ; XIANG ZHONGHUA ; LUO YAN ; DING PEI ; TIAN TIAN ; BAI TAO ; MA YUNLONG ; LIU NINGBO</creator><creatorcontrib>ZHANG PENGCHENG ; LI XIUGUANG ; ZHOU XIU ; HE NINGHUI ; XIANG ZHONGHUA ; LUO YAN ; DING PEI ; TIAN TIAN ; BAI TAO ; MA YUNLONG ; LIU NINGBO</creatorcontrib><description>The invention provides an oil-immersed transformer fault detection method based on gas on an oil surface, and belongs to the technical field of oil-immersed transformer fault detection.The method comprises the steps that historical operation parameters and internal gas data of an oil-immersed transformer are collected in real time, and a mathematical model of the operation state and gas concentration change of the transformer is established; and the incidence relation between the two is analyzed, and a gas-operation parameter change matrix is constructed. A training set is established based on data of a fault-free transformer and a known fault transformer, and a neural network model capable of identifying the fault type of the to-be-detected transformer is trained. And finally, carrying out real-time monitoring and fault diagnosis on the to-be-detected transformer. According to the method, internal data of the transformer are fully utilized, a complete fault diagnosis system is established, and the technical</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</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=20241029&amp;DB=EPODOC&amp;CC=CN&amp;NR=118861662A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20241029&amp;DB=EPODOC&amp;CC=CN&amp;NR=118861662A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG PENGCHENG</creatorcontrib><creatorcontrib>LI XIUGUANG</creatorcontrib><creatorcontrib>ZHOU XIU</creatorcontrib><creatorcontrib>HE NINGHUI</creatorcontrib><creatorcontrib>XIANG ZHONGHUA</creatorcontrib><creatorcontrib>LUO YAN</creatorcontrib><creatorcontrib>DING PEI</creatorcontrib><creatorcontrib>TIAN TIAN</creatorcontrib><creatorcontrib>BAI TAO</creatorcontrib><creatorcontrib>MA YUNLONG</creatorcontrib><creatorcontrib>LIU NINGBO</creatorcontrib><title>Oil immersed transformer fault detection method based on gas on oil surface</title><description>The invention provides an oil-immersed transformer fault detection method based on gas on an oil surface, and belongs to the technical field of oil-immersed transformer fault detection.The method comprises the steps that historical operation parameters and internal gas data of an oil-immersed transformer are collected in real time, and a mathematical model of the operation state and gas concentration change of the transformer is established; and the incidence relation between the two is analyzed, and a gas-operation parameter change matrix is constructed. A training set is established based on data of a fault-free transformer and a known fault transformer, and a neural network model capable of identifying the fault type of the to-be-detected transformer is trained. And finally, carrying out real-time monitoring and fault diagnosis on the to-be-detected transformer. According to the method, internal data of the transformer are fully utilized, a complete fault diagnosis system is established, and the technical</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD2z8xRyMzNTS0qTk1RKClKzCtOyy8CchXSEktzShRSUktSk0sy8_MUclNLMvJTFJISQQqB_PTEYhCVD9RfXFqUlpicysPAmpaYU5zKC6W5GRTdXEOcPXRTC_LjU4sLgEryUkvinf0MDS0szAzNzIwcjYlRAwBVbzVK</recordid><startdate>20241029</startdate><enddate>20241029</enddate><creator>ZHANG PENGCHENG</creator><creator>LI XIUGUANG</creator><creator>ZHOU XIU</creator><creator>HE NINGHUI</creator><creator>XIANG ZHONGHUA</creator><creator>LUO YAN</creator><creator>DING PEI</creator><creator>TIAN TIAN</creator><creator>BAI TAO</creator><creator>MA YUNLONG</creator><creator>LIU NINGBO</creator><scope>EVB</scope></search><sort><creationdate>20241029</creationdate><title>Oil immersed transformer fault detection method based on gas on oil surface</title><author>ZHANG PENGCHENG ; LI XIUGUANG ; ZHOU XIU ; HE NINGHUI ; XIANG ZHONGHUA ; LUO YAN ; DING PEI ; TIAN TIAN ; BAI TAO ; MA YUNLONG ; LIU NINGBO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118861662A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG PENGCHENG</creatorcontrib><creatorcontrib>LI XIUGUANG</creatorcontrib><creatorcontrib>ZHOU XIU</creatorcontrib><creatorcontrib>HE NINGHUI</creatorcontrib><creatorcontrib>XIANG ZHONGHUA</creatorcontrib><creatorcontrib>LUO YAN</creatorcontrib><creatorcontrib>DING PEI</creatorcontrib><creatorcontrib>TIAN TIAN</creatorcontrib><creatorcontrib>BAI TAO</creatorcontrib><creatorcontrib>MA YUNLONG</creatorcontrib><creatorcontrib>LIU NINGBO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG PENGCHENG</au><au>LI XIUGUANG</au><au>ZHOU XIU</au><au>HE NINGHUI</au><au>XIANG ZHONGHUA</au><au>LUO YAN</au><au>DING PEI</au><au>TIAN TIAN</au><au>BAI TAO</au><au>MA YUNLONG</au><au>LIU NINGBO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Oil immersed transformer fault detection method based on gas on oil surface</title><date>2024-10-29</date><risdate>2024</risdate><abstract>The invention provides an oil-immersed transformer fault detection method based on gas on an oil surface, and belongs to the technical field of oil-immersed transformer fault detection.The method comprises the steps that historical operation parameters and internal gas data of an oil-immersed transformer are collected in real time, and a mathematical model of the operation state and gas concentration change of the transformer is established; and the incidence relation between the two is analyzed, and a gas-operation parameter change matrix is constructed. A training set is established based on data of a fault-free transformer and a known fault transformer, and a neural network model capable of identifying the fault type of the to-be-detected transformer is trained. And finally, carrying out real-time monitoring and fault diagnosis on the to-be-detected transformer. According to the method, internal data of the transformer are fully utilized, a complete fault diagnosis system is established, and the technical</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN118861662A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Oil immersed transformer fault detection method based on gas on oil surface
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T05%3A32%3A28IST&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%20PENGCHENG&rft.date=2024-10-29&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118861662A%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