Method for diagnosing state of particulate matter filter cotton of vehicle tail gas detection equipment
The invention discloses a method for diagnosing the state of particulate matter filter cotton of vehicle tail gas detection equipment. The method comprises the following steps: classifying the states of a plurality of pieces of filter cotton which are known to be replaced or not; collecting data of...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | YUAN WENPING LU QIHANG LYU YINGMING ZHAO XIANGYANG |
| description | The invention discloses a method for diagnosing the state of particulate matter filter cotton of vehicle tail gas detection equipment. The method comprises the following steps: classifying the states of a plurality of pieces of filter cotton which are known to be replaced or not; collecting data of particulate matter concentrations at the front end and the rear end of the two types of classified filter cotton and flow velocity of to-be-filtered gas, and dividing the collected data into training set samples and test set samples; training the established probabilistic neural network by using a training set sample; testing the trained filter cotton recognition probabilistic neural network by using a test set sample; and inputting the front and rear end particulate matter concentration and to-be-filtered gas flow rate data of the to-be-processed filter cotton collected in real time into the filter cotton recognition probabilistic neural network meeting the accuracy requirement, and judging whether the to-be-proce |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN113420813A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN113420813A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN113420813A3</originalsourceid><addsrcrecordid>eNqNisEKwjAQBXvxIOo_rB8gWOvBqxTFi568lyV9SRfSJCZbv18LfoCnYZhZVu4OHWJPNmbqhV2IRYKjoqygaClxVjGTn3VkVWSy4meYqBrD_LwxiPEgZfHkuFAPhVH5VrwmSSOCrquFZV-w-XFVba-XZ3vbIcUOJbFBgHbto66b42F_qptz88_zAduVQDY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for diagnosing state of particulate matter filter cotton of vehicle tail gas detection equipment</title><source>esp@cenet</source><creator>YUAN WENPING ; LU QIHANG ; LYU YINGMING ; ZHAO XIANGYANG</creator><creatorcontrib>YUAN WENPING ; LU QIHANG ; LYU YINGMING ; ZHAO XIANGYANG</creatorcontrib><description>The invention discloses a method for diagnosing the state of particulate matter filter cotton of vehicle tail gas detection equipment. The method comprises the following steps: classifying the states of a plurality of pieces of filter cotton which are known to be replaced or not; collecting data of particulate matter concentrations at the front end and the rear end of the two types of classified filter cotton and flow velocity of to-be-filtered gas, and dividing the collected data into training set samples and test set samples; training the established probabilistic neural network by using a training set sample; testing the trained filter cotton recognition probabilistic neural network by using a test set sample; and inputting the front and rear end particulate matter concentration and to-be-filtered gas flow rate data of the to-be-processed filter cotton collected in real time into the filter cotton recognition probabilistic neural network meeting the accuracy requirement, and judging whether the to-be-proce</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; TESTING</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=20210921&DB=EPODOC&CC=CN&NR=113420813A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210921&DB=EPODOC&CC=CN&NR=113420813A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YUAN WENPING</creatorcontrib><creatorcontrib>LU QIHANG</creatorcontrib><creatorcontrib>LYU YINGMING</creatorcontrib><creatorcontrib>ZHAO XIANGYANG</creatorcontrib><title>Method for diagnosing state of particulate matter filter cotton of vehicle tail gas detection equipment</title><description>The invention discloses a method for diagnosing the state of particulate matter filter cotton of vehicle tail gas detection equipment. The method comprises the following steps: classifying the states of a plurality of pieces of filter cotton which are known to be replaced or not; collecting data of particulate matter concentrations at the front end and the rear end of the two types of classified filter cotton and flow velocity of to-be-filtered gas, and dividing the collected data into training set samples and test set samples; training the established probabilistic neural network by using a training set sample; testing the trained filter cotton recognition probabilistic neural network by using a test set sample; and inputting the front and rear end particulate matter concentration and to-be-filtered gas flow rate data of the to-be-processed filter cotton collected in real time into the filter cotton recognition probabilistic neural network meeting the accuracy requirement, and judging whether the to-be-proce</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>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNisEKwjAQBXvxIOo_rB8gWOvBqxTFi568lyV9SRfSJCZbv18LfoCnYZhZVu4OHWJPNmbqhV2IRYKjoqygaClxVjGTn3VkVWSy4meYqBrD_LwxiPEgZfHkuFAPhVH5VrwmSSOCrquFZV-w-XFVba-XZ3vbIcUOJbFBgHbto66b42F_qptz88_zAduVQDY</recordid><startdate>20210921</startdate><enddate>20210921</enddate><creator>YUAN WENPING</creator><creator>LU QIHANG</creator><creator>LYU YINGMING</creator><creator>ZHAO XIANGYANG</creator><scope>EVB</scope></search><sort><creationdate>20210921</creationdate><title>Method for diagnosing state of particulate matter filter cotton of vehicle tail gas detection equipment</title><author>YUAN WENPING ; LU QIHANG ; LYU YINGMING ; ZHAO XIANGYANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113420813A3</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>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>YUAN WENPING</creatorcontrib><creatorcontrib>LU QIHANG</creatorcontrib><creatorcontrib>LYU YINGMING</creatorcontrib><creatorcontrib>ZHAO XIANGYANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YUAN WENPING</au><au>LU QIHANG</au><au>LYU YINGMING</au><au>ZHAO XIANGYANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for diagnosing state of particulate matter filter cotton of vehicle tail gas detection equipment</title><date>2021-09-21</date><risdate>2021</risdate><abstract>The invention discloses a method for diagnosing the state of particulate matter filter cotton of vehicle tail gas detection equipment. The method comprises the following steps: classifying the states of a plurality of pieces of filter cotton which are known to be replaced or not; collecting data of particulate matter concentrations at the front end and the rear end of the two types of classified filter cotton and flow velocity of to-be-filtered gas, and dividing the collected data into training set samples and test set samples; training the established probabilistic neural network by using a training set sample; testing the trained filter cotton recognition probabilistic neural network by using a test set sample; and inputting the front and rear end particulate matter concentration and to-be-filtered gas flow rate data of the to-be-processed filter cotton collected in real time into the filter cotton recognition probabilistic neural network meeting the accuracy requirement, and judging whether the to-be-proce</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN113420813A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS TESTING |
| title | Method for diagnosing state of particulate matter filter cotton of vehicle tail gas detection equipment |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T01%3A34%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=YUAN%20WENPING&rft.date=2021-09-21&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN113420813A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |