Method and equipment for optimizing model and storage medium
The invention discloses a method and equipment for optimizing a model and a computer readable storage medium. The method comprises the following steps: inputting a time domain version of data marked as normal or abnormal into an anomaly detection model based on a convolutional neural network, and in...
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| creator | LIU WEI SON SHUN |
| description | The invention discloses a method and equipment for optimizing a model and a computer readable storage medium. The method comprises the following steps: inputting a time domain version of data marked as normal or abnormal into an anomaly detection model based on a convolutional neural network, and inputting a frequency domain version of the data into a physical model; if the output of the anomaly detection model is the same as the mark of the data and the output of the physical model is different from the mark of the data, adjusting a threshold value of the physical model; and if the output of the anomaly detection model is different from the mark of the data and the output of the physical model is the same as the mark of the data, training the anomaly detection model, the training of the anomaly detection model comprising: adjusting a threshold value of the physical model, and obtaining data of which the mark is inverted relative to the threshold value from the physical model using the adjusted threshold valu |
| format | Patent |
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The method comprises the following steps: inputting a time domain version of data marked as normal or abnormal into an anomaly detection model based on a convolutional neural network, and inputting a frequency domain version of the data into a physical model; if the output of the anomaly detection model is the same as the mark of the data and the output of the physical model is different from the mark of the data, adjusting a threshold value of the physical model; and if the output of the anomaly detection model is different from the mark of the data and the output of the physical model is the same as the mark of the data, training the anomaly detection model, the training of the anomaly detection model comprising: adjusting a threshold value of the physical model, and obtaining data of which the mark is inverted relative to the threshold value from the physical model using the adjusted threshold valu</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; MEASURING ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; TESTING ; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES ; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</subject><creationdate>2021</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=20211207&DB=EPODOC&CC=CN&NR=113761979A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211207&DB=EPODOC&CC=CN&NR=113761979A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU WEI</creatorcontrib><creatorcontrib>SON SHUN</creatorcontrib><title>Method and equipment for optimizing model and storage medium</title><description>The invention discloses a method and equipment for optimizing a model and a computer readable storage medium. The method comprises the following steps: inputting a time domain version of data marked as normal or abnormal into an anomaly detection model based on a convolutional neural network, and inputting a frequency domain version of the data into a physical model; if the output of the anomaly detection model is the same as the mark of the data and the output of the physical model is different from the mark of the data, adjusting a threshold value of the physical model; and if the output of the anomaly detection model is different from the mark of the data and the output of the physical model is the same as the mark of the data, training the anomaly detection model, the training of the anomaly detection model comprising: adjusting a threshold value of the physical model, and obtaining data of which the mark is inverted relative to the threshold value from the physical model using the adjusted threshold valu</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>TESTING</subject><subject>TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES</subject><subject>TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLDxTS3JyE9RSMxLUUgtLM0syE3NK1FIyy9SyC8oyczNrMrMS1fIzU9JzQErKS7JL0pMT1XITU3JLM3lYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxzn6GhsbmZoaW5paOxsSoAQDuzS_y</recordid><startdate>20211207</startdate><enddate>20211207</enddate><creator>LIU WEI</creator><creator>SON SHUN</creator><scope>EVB</scope></search><sort><creationdate>20211207</creationdate><title>Method and equipment for optimizing model and storage medium</title><author>LIU WEI ; SON SHUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113761979A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>TESTING</topic><topic>TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES</topic><topic>TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>LIU WEI</creatorcontrib><creatorcontrib>SON SHUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIU WEI</au><au>SON SHUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and equipment for optimizing model and storage medium</title><date>2021-12-07</date><risdate>2021</risdate><abstract>The invention discloses a method and equipment for optimizing a model and a computer readable storage medium. 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| language | chi ; eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS MEASURING PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS TESTING TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR |
| title | Method and equipment for optimizing model and storage medium |
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