Damage space identification and positioning technology based on lamb waves in strong noise environment
The invention discloses a damage space identification and positioning technology based on lamb waves in a strong noise environment. The technology comprises the following steps: (1) signal acquisition; piezoelectric ceramic sensor arrays are uniformly arranged on a to-be-tested carbon fiber composit...
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 | PEI ZEGUANG JIN ZHONGYAN ZHOU QIHONG WANG HANZHU CHEN GE WANG SHUI |
| description | The invention discloses a damage space identification and positioning technology based on lamb waves in a strong noise environment. The technology comprises the following steps: (1) signal acquisition; piezoelectric ceramic sensor arrays are uniformly arranged on a to-be-tested carbon fiber composite laminate and a standard carbon fiber composite laminate, the number of sensors is M, the first to (M-1) th sensors are sequentially used as excitation sensors to generate lamb waves, and other sensors are used as receiving sensors to collect lamb wave response signals; (2) de-noising and reconstructing the signal; (3) horizontally positioning the damage; performing damage horizontal positioning by using a tomography algorithm, and determining a two-dimensional coordinate of the damage; (4) positioning the damage depth; judging the layer number of the damage by using a convolutional neural network, and determining the depth of the damage; and (5) visualizing the spatial position of the damage. The method is simple |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117092211A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117092211A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117092211A3</originalsourceid><addsrcrecordid>eNqNjTEKwkAQRdNYiHqH8QCCGwuxlKhYWdmHyWaSDGRnFmeJeHtX8QBWnweP9-dFd8KAPYFF9ATckiTu2GNiFUBpIarxB1h6SOQH0VH7FzRo1EJ2RgwNPHEiAxaw9NAsirIRkEycMeTmsph1OBqtfrso1pfzvbpuKGpN33OhVFc35_bbQ1k6d9z947wBogY_-Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Damage space identification and positioning technology based on lamb waves in strong noise environment</title><source>esp@cenet</source><creator>PEI ZEGUANG ; JIN ZHONGYAN ; ZHOU QIHONG ; WANG HANZHU ; CHEN GE ; WANG SHUI</creator><creatorcontrib>PEI ZEGUANG ; JIN ZHONGYAN ; ZHOU QIHONG ; WANG HANZHU ; CHEN GE ; WANG SHUI</creatorcontrib><description>The invention discloses a damage space identification and positioning technology based on lamb waves in a strong noise environment. The technology comprises the following steps: (1) signal acquisition; piezoelectric ceramic sensor arrays are uniformly arranged on a to-be-tested carbon fiber composite laminate and a standard carbon fiber composite laminate, the number of sensors is M, the first to (M-1) th sensors are sequentially used as excitation sensors to generate lamb waves, and other sensors are used as receiving sensors to collect lamb wave response signals; (2) de-noising and reconstructing the signal; (3) horizontally positioning the damage; performing damage horizontal positioning by using a tomography algorithm, and determining a two-dimensional coordinate of the damage; (4) positioning the damage depth; judging the layer number of the damage by using a convolutional neural network, and determining the depth of the damage; and (5) visualizing the spatial position of the damage. The method is simple</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; PHYSICS ; TESTING</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=20231121&DB=EPODOC&CC=CN&NR=117092211A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231121&DB=EPODOC&CC=CN&NR=117092211A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PEI ZEGUANG</creatorcontrib><creatorcontrib>JIN ZHONGYAN</creatorcontrib><creatorcontrib>ZHOU QIHONG</creatorcontrib><creatorcontrib>WANG HANZHU</creatorcontrib><creatorcontrib>CHEN GE</creatorcontrib><creatorcontrib>WANG SHUI</creatorcontrib><title>Damage space identification and positioning technology based on lamb waves in strong noise environment</title><description>The invention discloses a damage space identification and positioning technology based on lamb waves in a strong noise environment. The technology comprises the following steps: (1) signal acquisition; piezoelectric ceramic sensor arrays are uniformly arranged on a to-be-tested carbon fiber composite laminate and a standard carbon fiber composite laminate, the number of sensors is M, the first to (M-1) th sensors are sequentially used as excitation sensors to generate lamb waves, and other sensors are used as receiving sensors to collect lamb wave response signals; (2) de-noising and reconstructing the signal; (3) horizontally positioning the damage; performing damage horizontal positioning by using a tomography algorithm, and determining a two-dimensional coordinate of the damage; (4) positioning the damage depth; judging the layer number of the damage by using a convolutional neural network, and determining the depth of the damage; and (5) visualizing the spatial position of the damage. The method is simple</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjTEKwkAQRdNYiHqH8QCCGwuxlKhYWdmHyWaSDGRnFmeJeHtX8QBWnweP9-dFd8KAPYFF9ATckiTu2GNiFUBpIarxB1h6SOQH0VH7FzRo1EJ2RgwNPHEiAxaw9NAsirIRkEycMeTmsph1OBqtfrso1pfzvbpuKGpN33OhVFc35_bbQ1k6d9z947wBogY_-Q</recordid><startdate>20231121</startdate><enddate>20231121</enddate><creator>PEI ZEGUANG</creator><creator>JIN ZHONGYAN</creator><creator>ZHOU QIHONG</creator><creator>WANG HANZHU</creator><creator>CHEN GE</creator><creator>WANG SHUI</creator><scope>EVB</scope></search><sort><creationdate>20231121</creationdate><title>Damage space identification and positioning technology based on lamb waves in strong noise environment</title><author>PEI ZEGUANG ; JIN ZHONGYAN ; ZHOU QIHONG ; WANG HANZHU ; CHEN GE ; WANG SHUI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117092211A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>PEI ZEGUANG</creatorcontrib><creatorcontrib>JIN ZHONGYAN</creatorcontrib><creatorcontrib>ZHOU QIHONG</creatorcontrib><creatorcontrib>WANG HANZHU</creatorcontrib><creatorcontrib>CHEN GE</creatorcontrib><creatorcontrib>WANG SHUI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>PEI ZEGUANG</au><au>JIN ZHONGYAN</au><au>ZHOU QIHONG</au><au>WANG HANZHU</au><au>CHEN GE</au><au>WANG SHUI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Damage space identification and positioning technology based on lamb waves in strong noise environment</title><date>2023-11-21</date><risdate>2023</risdate><abstract>The invention discloses a damage space identification and positioning technology based on lamb waves in a strong noise environment. The technology comprises the following steps: (1) signal acquisition; piezoelectric ceramic sensor arrays are uniformly arranged on a to-be-tested carbon fiber composite laminate and a standard carbon fiber composite laminate, the number of sensors is M, the first to (M-1) th sensors are sequentially used as excitation sensors to generate lamb waves, and other sensors are used as receiving sensors to collect lamb wave response signals; (2) de-noising and reconstructing the signal; (3) horizontally positioning the damage; performing damage horizontal positioning by using a tomography algorithm, and determining a two-dimensional coordinate of the damage; (4) positioning the damage depth; judging the layer number of the damage by using a convolutional neural network, and determining the depth of the damage; and (5) visualizing the spatial position of the damage. The method is simple</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN117092211A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS TESTING |
| title | Damage space identification and positioning technology based on lamb waves in strong noise environment |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T17%3A36%3A40IST&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=PEI%20ZEGUANG&rft.date=2023-11-21&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117092211A%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 |