Power equipment fault type diagnosis method and system, terminal and storage medium
The invention discloses a power equipment fault type diagnosis method and system, a terminal and a storage medium. The method comprises the following steps: establishing a fault equipment operation state abnormal data set according to an equipment information model and a spatial model of equipment o...
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| creator | YANG FAXIANG XU CHAO ZHAO LEI DAI LULU TANG LIUYUAN |
| description | The invention discloses a power equipment fault type diagnosis method and system, a terminal and a storage medium. The method comprises the following steps: establishing a fault equipment operation state abnormal data set according to an equipment information model and a spatial model of equipment operation data; establishing a least square support vector machine model according to the fault equipment operation state abnormal data set, introducing Lagrange multiplier method parameters, and optimizing the least square support vector machine model based on the KKT condition of the optimization problem and the minimum error of the least square support vector machine model; establishing a fault equipment operation state abnormity diagnosis model; a chaotic particle swarm optimization algorithm is adopted to optimize parameters of the fault equipment operation state abnormity diagnosis model, and an optimal fault equipment operation state abnormity diagnosis model is established; and performing power equipment fau |
| format | Patent |
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The method comprises the following steps: establishing a fault equipment operation state abnormal data set according to an equipment information model and a spatial model of equipment operation data; establishing a least square support vector machine model according to the fault equipment operation state abnormal data set, introducing Lagrange multiplier method parameters, and optimizing the least square support vector machine model based on the KKT condition of the optimization problem and the minimum error of the least square support vector machine model; establishing a fault equipment operation state abnormity diagnosis model; a chaotic particle swarm optimization algorithm is adopted to optimize parameters of the fault equipment operation state abnormity diagnosis model, and an optimal fault equipment operation state abnormity diagnosis model is established; and performing power equipment fau</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</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&date=20230512&DB=EPODOC&CC=CN&NR=116108385A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230512&DB=EPODOC&CC=CN&NR=116108385A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YANG FAXIANG</creatorcontrib><creatorcontrib>XU CHAO</creatorcontrib><creatorcontrib>ZHAO LEI</creatorcontrib><creatorcontrib>DAI LULU</creatorcontrib><creatorcontrib>TANG LIUYUAN</creatorcontrib><title>Power equipment fault type diagnosis method and system, terminal and storage medium</title><description>The invention discloses a power equipment fault type diagnosis method and system, a terminal and a storage medium. 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The method comprises the following steps: establishing a fault equipment operation state abnormal data set according to an equipment information model and a spatial model of equipment operation data; establishing a least square support vector machine model according to the fault equipment operation state abnormal data set, introducing Lagrange multiplier method parameters, and optimizing the least square support vector machine model based on the KKT condition of the optimization problem and the minimum error of the least square support vector machine model; establishing a fault equipment operation state abnormity diagnosis model; a chaotic particle swarm optimization algorithm is adopted to optimize parameters of the fault equipment operation state abnormity diagnosis model, and an optimal fault equipment operation state abnormity diagnosis model is established; and performing power equipment fau</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Power equipment fault type diagnosis method and system, terminal and storage medium |
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