Traction motor anomaly detection method, detection device, detection equipment and storage medium
The invention relates to a traction motor anomaly detection method, a detection device, detection equipment and a storage medium, and belongs to the technical field of traction motor anomaly detection.The traction motor anomaly detection method comprises the following steps: a data acquisition step:...
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| creator | LIU PENG XUE XUEXIAO ZENG YU LI HUADONG GUAN CHAO LYU FANGLIN CHEN HAOHUA |
| description | The invention relates to a traction motor anomaly detection method, a detection device, detection equipment and a storage medium, and belongs to the technical field of traction motor anomaly detection.The traction motor anomaly detection method comprises the following steps: a data acquisition step: screening daily to-be-detected parameters, and filtering main line data to obtain a first data set; a data statistics step: performing statistics on the first data set to obtain statistics, and obtaining a wide table according to the statistics; a dimension reduction step: performing PCA dimension reduction on the data in the wide table; a data processing step: calculating Euclidean distances from all data after dimension reduction to the mass center of the traction motor to obtain a second data set; a data analysis step of performing statistical analysis on the second data set to obtain an alarm threshold value; and a judgment step: judging whether the traction motor is abnormal or not according to the Euclidean |
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a data statistics step: performing statistics on the first data set to obtain statistics, and obtaining a wide table according to the statistics; a dimension reduction step: performing PCA dimension reduction on the data in the wide table; a data processing step: calculating Euclidean distances from all data after dimension reduction to the mass center of the traction motor to obtain a second data set; a data analysis step of performing statistical analysis on the second data set to obtain an alarm threshold value; and a judgment step: judging whether the traction motor is abnormal or not according to the Euclidean</description><language>chi ; eng</language><subject>CALCULATING ; 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=20240206&DB=EPODOC&CC=CN&NR=117520831A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25551,76302</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240206&DB=EPODOC&CC=CN&NR=117520831A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU PENG</creatorcontrib><creatorcontrib>XUE XUEXIAO</creatorcontrib><creatorcontrib>ZENG YU</creatorcontrib><creatorcontrib>LI HUADONG</creatorcontrib><creatorcontrib>GUAN CHAO</creatorcontrib><creatorcontrib>LYU FANGLIN</creatorcontrib><creatorcontrib>CHEN HAOHUA</creatorcontrib><title>Traction motor anomaly detection method, detection device, detection equipment and storage medium</title><description>The invention relates to a traction motor anomaly detection method, a detection device, detection equipment and a storage medium, and belongs to the technical field of traction motor anomaly detection.The traction motor anomaly detection method comprises the following steps: a data acquisition step: screening daily to-be-detected parameters, and filtering main line data to obtain a first data set; 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a data statistics step: performing statistics on the first data set to obtain statistics, and obtaining a wide table according to the statistics; a dimension reduction step: performing PCA dimension reduction on the data in the wide table; a data processing step: calculating Euclidean distances from all data after dimension reduction to the mass center of the traction motor to obtain a second data set; a data analysis step of performing statistical analysis on the second data set to obtain an alarm threshold value; and a judgment step: judging whether the traction motor is abnormal or not according to the Euclidean</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS TESTING |
| title | Traction motor anomaly detection method, detection device, detection equipment and storage medium |
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