GIS internal insulation discharge type multispectral feature analysis method and system
The invention provides a GIS internal insulation discharge type multispectral characteristic analysis method and system, and the method comprises the steps: carrying out a sealed gas chamber experiment, filling a gas chamber with SF6 gas, simulating the internal environment of a GIS, carrying out th...
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| creator | SHEN QING WANG PENG CHEN XUE LI QIYUE XIE CHENG LIU XIANG YAO HAN GUO ZHENYU DONG XIANGYU HUANG YONGSHENG WAN ZIHAO CHEN MINGYANG ZHANG FANGWEI MA HUAN LI WEITAO ZHANG QIAN LI YANDONG GAO HONGQIANG XIA YOUSEN ZHANG JIE WANG TAIPING ZHANG BIN SUN WEI HU KUN LI SHUXIN FU QINGTAI DING FAN ZHANG XUEYOU ZHAO JULONG |
| description | The invention provides a GIS internal insulation discharge type multispectral characteristic analysis method and system, and the method comprises the steps: carrying out a sealed gas chamber experiment, filling a gas chamber with SF6 gas, simulating the internal environment of a GIS, carrying out the discharge in different modes, simulating different discharge faults caused by the insulation defect of the GIS, employing a spectrograph, and carrying out the analysis of the multispectral characteristics of the GIS internal insulation discharge type. Collecting and recording the ultraviolet spectrum, the visible spectrum and the infrared spectrum; data mining: carrying out normalization processing on the data, identifying peak value characteristics in the spectral data through a segmentation clustering algorithm, and removing interference on the spectral data caused by discharge duration; and establishing a discharge type identification model by using a convolutional neural network, inputting the collected spect |
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Collecting and recording the ultraviolet spectrum, the visible spectrum and the infrared spectrum; data mining: carrying out normalization processing on the data, identifying peak value characteristics in the spectral data through a segmentation clustering algorithm, and removing interference on the spectral data caused by discharge duration; and establishing a discharge type identification model by using a convolutional neural network, inputting the collected spect</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; PHYSICS ; TESTING</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&date=20240322&DB=EPODOC&CC=CN&NR=117741357A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240322&DB=EPODOC&CC=CN&NR=117741357A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SHEN QING</creatorcontrib><creatorcontrib>WANG PENG</creatorcontrib><creatorcontrib>CHEN XUE</creatorcontrib><creatorcontrib>LI QIYUE</creatorcontrib><creatorcontrib>XIE CHENG</creatorcontrib><creatorcontrib>LIU XIANG</creatorcontrib><creatorcontrib>YAO HAN</creatorcontrib><creatorcontrib>GUO ZHENYU</creatorcontrib><creatorcontrib>DONG XIANGYU</creatorcontrib><creatorcontrib>HUANG YONGSHENG</creatorcontrib><creatorcontrib>WAN ZIHAO</creatorcontrib><creatorcontrib>CHEN MINGYANG</creatorcontrib><creatorcontrib>ZHANG FANGWEI</creatorcontrib><creatorcontrib>MA HUAN</creatorcontrib><creatorcontrib>LI WEITAO</creatorcontrib><creatorcontrib>ZHANG QIAN</creatorcontrib><creatorcontrib>LI YANDONG</creatorcontrib><creatorcontrib>GAO HONGQIANG</creatorcontrib><creatorcontrib>XIA YOUSEN</creatorcontrib><creatorcontrib>ZHANG JIE</creatorcontrib><creatorcontrib>WANG TAIPING</creatorcontrib><creatorcontrib>ZHANG BIN</creatorcontrib><creatorcontrib>SUN WEI</creatorcontrib><creatorcontrib>HU KUN</creatorcontrib><creatorcontrib>LI SHUXIN</creatorcontrib><creatorcontrib>FU QINGTAI</creatorcontrib><creatorcontrib>DING FAN</creatorcontrib><creatorcontrib>ZHANG XUEYOU</creatorcontrib><creatorcontrib>ZHAO JULONG</creatorcontrib><title>GIS internal insulation discharge type multispectral feature analysis method and system</title><description>The invention provides a GIS internal insulation discharge type multispectral characteristic analysis method and system, and the method comprises the steps: carrying out a sealed gas chamber experiment, filling a gas chamber with SF6 gas, simulating the internal environment of a GIS, carrying out the discharge in different modes, simulating different discharge faults caused by the insulation defect of the GIS, employing a spectrograph, and carrying out the analysis of the multispectral characteristics of the GIS internal insulation discharge type. Collecting and recording the ultraviolet spectrum, the visible spectrum and the infrared spectrum; data mining: carrying out normalization processing on the data, identifying peak value characteristics in the spectral data through a segmentation clustering algorithm, and removing interference on the spectral data caused by discharge duration; and establishing a discharge type identification model by using a convolutional neural network, inputting the collected spect</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>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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizsOwjAQBdNQIOAOywEorIBSo4hfQwMSZbRKXhJLjmN510VujwsOQPVmpHnr4nN7vMh6RfTsMkhyrHb21FlpR44DSJcAmpJTKwGtxtz1YE0RxPm0iBWaoOPcZe9IFlFM22LVsxPsfrsp9tfLu74fEOYGEriFhzb105iqOpryVJ3Lf5ovslU6qg</recordid><startdate>20240322</startdate><enddate>20240322</enddate><creator>SHEN QING</creator><creator>WANG PENG</creator><creator>CHEN XUE</creator><creator>LI QIYUE</creator><creator>XIE CHENG</creator><creator>LIU XIANG</creator><creator>YAO HAN</creator><creator>GUO ZHENYU</creator><creator>DONG XIANGYU</creator><creator>HUANG YONGSHENG</creator><creator>WAN ZIHAO</creator><creator>CHEN MINGYANG</creator><creator>ZHANG FANGWEI</creator><creator>MA HUAN</creator><creator>LI WEITAO</creator><creator>ZHANG QIAN</creator><creator>LI YANDONG</creator><creator>GAO HONGQIANG</creator><creator>XIA YOUSEN</creator><creator>ZHANG JIE</creator><creator>WANG TAIPING</creator><creator>ZHANG BIN</creator><creator>SUN WEI</creator><creator>HU KUN</creator><creator>LI SHUXIN</creator><creator>FU QINGTAI</creator><creator>DING FAN</creator><creator>ZHANG XUEYOU</creator><creator>ZHAO JULONG</creator><scope>EVB</scope></search><sort><creationdate>20240322</creationdate><title>GIS internal insulation discharge type multispectral feature analysis method and system</title><author>SHEN QING ; 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Collecting and recording the ultraviolet spectrum, the visible spectrum and the infrared spectrum; data mining: carrying out normalization processing on the data, identifying peak value characteristics in the spectral data through a segmentation clustering algorithm, and removing interference on the spectral data caused by discharge duration; and establishing a discharge type identification model by using a convolutional neural network, inputting the collected spect</abstract><oa>free_for_read</oa></addata></record> |
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| title | GIS internal insulation discharge type multispectral feature analysis method and system |
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