Wind generating set fault intelligent analysis method and system based on artificial intelligence
The invention belongs to the technical field of equipment operation fault analysis, and discloses a wind generating set fault intelligent analysis method and system based on artificial intelligence. Therefore, the normal value of each operation index of the specified wind generating set under the cu...
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| creator | TAN BO SONG YU LIU PENG WU YUNPENG YU TENG LIU DONGQI FU ENJUN |
| description | The invention belongs to the technical field of equipment operation fault analysis, and discloses a wind generating set fault intelligent analysis method and system based on artificial intelligence. Therefore, the normal value of each operation index of the specified wind generating set under the current wind energy environment quality coefficient is obtained, reliable identification of the hidden danger power generation component is realized according to the comparison result of the actual operation index and the normal value of the corresponding operation index, and the fitting degree of the identification result and the actual wind energy environment quality is greatly improved. The method can improve the prediction efficiency of the cause of the operation fault to the greatest extent, and gives full consideration to the possibility of the operation fault caused by the abnormal operation state and abnormal operation temperature during the analysis of the abnormal operation of the hidden power generation pa |
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Therefore, the normal value of each operation index of the specified wind generating set under the current wind energy environment quality coefficient is obtained, reliable identification of the hidden danger power generation component is realized according to the comparison result of the actual operation index and the normal value of the corresponding operation index, and the fitting degree of the identification result and the actual wind energy environment quality is greatly improved. The method can improve the prediction efficiency of the cause of the operation fault to the greatest extent, and gives full consideration to the possibility of the operation fault caused by the abnormal operation state and abnormal operation temperature during the analysis of the abnormal operation of the hidden power generation pa</description><language>chi ; eng</language><subject>BLASTING ; HEATING ; LIGHTING ; MACHINES OR ENGINES FOR LIQUIDS ; MECHANICAL ENGINEERING ; OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR ; PRODUCING MECHANICAL POWER ; WEAPONS ; WIND MOTORS ; WIND, SPRING WEIGHT AND MISCELLANEOUS MOTORS</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=20230113&DB=EPODOC&CC=CN&NR=115596620A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230113&DB=EPODOC&CC=CN&NR=115596620A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TAN BO</creatorcontrib><creatorcontrib>SONG YU</creatorcontrib><creatorcontrib>LIU PENG</creatorcontrib><creatorcontrib>WU YUNPENG</creatorcontrib><creatorcontrib>YU TENG</creatorcontrib><creatorcontrib>LIU DONGQI</creatorcontrib><creatorcontrib>FU ENJUN</creatorcontrib><title>Wind generating set fault intelligent analysis method and system based on artificial intelligence</title><description>The invention belongs to the technical field of equipment operation fault analysis, and discloses a wind generating set fault intelligent analysis method and system based on artificial intelligence. Therefore, the normal value of each operation index of the specified wind generating set under the current wind energy environment quality coefficient is obtained, reliable identification of the hidden danger power generation component is realized according to the comparison result of the actual operation index and the normal value of the corresponding operation index, and the fitting degree of the identification result and the actual wind energy environment quality is greatly improved. 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Therefore, the normal value of each operation index of the specified wind generating set under the current wind energy environment quality coefficient is obtained, reliable identification of the hidden danger power generation component is realized according to the comparison result of the actual operation index and the normal value of the corresponding operation index, and the fitting degree of the identification result and the actual wind energy environment quality is greatly improved. The method can improve the prediction efficiency of the cause of the operation fault to the greatest extent, and gives full consideration to the possibility of the operation fault caused by the abnormal operation state and abnormal operation temperature during the analysis of the abnormal operation of the hidden power generation pa</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | BLASTING HEATING LIGHTING MACHINES OR ENGINES FOR LIQUIDS MECHANICAL ENGINEERING OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR PRODUCING MECHANICAL POWER WEAPONS WIND MOTORS WIND, SPRING WEIGHT AND MISCELLANEOUS MOTORS |
| title | Wind generating set fault intelligent analysis method and system based on artificial intelligence |
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