Automatic crimping state classification in X-ray images of crimped tension clamp
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Published in | Nondestructive testing and evaluation pp. 1 - 17 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
07.03.2024
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Author | Shao, Huitu Wang, Jintao Lv, Jiliang Zeng, Zhengfeng Qu, Shengguan |
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Author_xml | – sequence: 1 givenname: Huitu surname: Shao fullname: Shao, Huitu organization: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong, China – sequence: 2 givenname: Jiliang surname: Lv fullname: Lv, Jiliang organization: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong, China – sequence: 3 givenname: Jintao surname: Wang fullname: Wang, Jintao organization: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong, China – sequence: 4 givenname: Zhengfeng surname: Zeng fullname: Zeng, Zhengfeng organization: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong, China – sequence: 5 givenname: Shengguan surname: Qu fullname: Qu, Shengguan organization: School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong, China |
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Cites_doi | 10.1016/j.measurement.2021.110569 10.1007/s10278-019-00211-5 10.1016/j.jmapro.2020.04.015 10.1016/j.ndteint.2021.102435 10.1007/s10921-021-00842-1 10.1063/5.0098746 10.1016/j.conbuildmat.2019.07.007 10.1007/s00138-017-0830-x 10.3390/ma14143773 10.1016/j.ijleo.2017.10.090 10.1016/j.ndteint.2016.11.003 10.1016/j.ndteint.2022.102766 10.1109/TIM.2021.3124053 10.1080/10589759.2021.2023872 10.3390/s150716981 10.1007/s10462-018-9614-6 10.37188/ope.2021.0349 10.1093/jom/ufad028 10.1016/0031-3203(87)90031-8 10.9734/JAMCS/2017/35610 10.1007/s11947-022-02939-5 10.1080/10298436.2021.1888092 10.1016/j.cageo.2008.01.006 10.1007/s11760-023-02631-x 10.1134/S1054661817040162 10.1109/LRA.2020.3003772 10.1016/j.microrel.2017.12.032 10.1007/s11042-022-12020-0 10.1049/joe.2018.8430 |
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References | Lloyd K (e_1_3_2_25_1) 2017; 28 e_1_3_2_28_1 e_1_3_2_29_1 e_1_3_2_21_1 e_1_3_2_22_1 e_1_3_2_23_1 e_1_3_2_24_1 e_1_3_2_26_1 Zhou J (e_1_3_2_20_1) 2001 Zhang Y (e_1_3_2_27_1) 2016 e_1_3_2_16_1 e_1_3_2_9_1 e_1_3_2_17_1 e_1_3_2_8_1 e_1_3_2_7_1 e_1_3_2_19_1 e_1_3_2_31_1 e_1_3_2_30_1 e_1_3_2_10_1 e_1_3_2_33_1 e_1_3_2_11_1 e_1_3_2_32_1 e_1_3_2_6_1 Cai B (e_1_3_2_13_1) 2020; 41 QGDW 11793-2017 (e_1_3_2_18_1) 2017 e_1_3_2_35_1 e_1_3_2_34_1 e_1_3_2_4_1 e_1_3_2_14_1 e_1_3_2_37_1 e_1_3_2_15_1 e_1_3_2_36_1 Yu Y (e_1_3_2_12_1) 2014; 35 Liu R (e_1_3_2_5_1) 2019; 2019 Liu W (e_1_3_2_2_1) 2021 Liu C (e_1_3_2_3_1) 2015; 48 |
References_xml | – start-page: 959 issue: 9 year: 2001 ident: e_1_3_2_20_1 article-title: Image enhancement based on a new genetic algorithm publication-title: Chinese J Compu contributor: fullname: Zhou J – ident: e_1_3_2_7_1 doi: 10.1016/j.measurement.2021.110569 – ident: e_1_3_2_22_1 doi: 10.1007/s10278-019-00211-5 – ident: e_1_3_2_37_1 doi: 10.1016/j.jmapro.2020.04.015 – ident: e_1_3_2_9_1 doi: 10.1016/j.ndteint.2021.102435 – ident: e_1_3_2_11_1 doi: 10.1007/s10921-021-00842-1 – ident: e_1_3_2_4_1 doi: 10.1063/5.0098746 – ident: e_1_3_2_26_1 doi: 10.1016/j.conbuildmat.2019.07.007 – volume: 28 start-page: 361 issue: 3 year: 2017 ident: e_1_3_2_25_1 article-title: Detecting violent and abnormal crowd activity using temporal analysis of Grey Level Co-occurrence Matrix (GLCM)-based texture measures publication-title: Mach VisAppl doi: 10.1007/s00138-017-0830-x contributor: fullname: Lloyd K – ident: e_1_3_2_30_1 doi: 10.3390/ma14143773 – ident: e_1_3_2_31_1 doi: 10.1016/j.ijleo.2017.10.090 – ident: e_1_3_2_10_1 doi: 10.1016/j.ndteint.2016.11.003 – ident: e_1_3_2_14_1 doi: 10.1016/j.ndteint.2022.102766 – ident: e_1_3_2_8_1 doi: 10.1109/TIM.2021.3124053 – ident: e_1_3_2_16_1 doi: 10.1080/10589759.2021.2023872 – ident: e_1_3_2_21_1 doi: 10.3390/s150716981 – start-page: 1278 volume-title: IEEE Conference on Computer Vision and Pattern Recognition year: 2016 ident: e_1_3_2_27_1 contributor: fullname: Zhang Y – volume: 35 start-page: 2012 issue: 9 year: 2014 ident: e_1_3_2_12_1 article-title: Defect recognition for radiographic image based on deep learning network publication-title: Chin J Sci Instrum contributor: fullname: Yu Y – ident: e_1_3_2_28_1 doi: 10.1007/s10462-018-9614-6 – ident: e_1_3_2_17_1 doi: 10.37188/ope.2021.0349 – ident: e_1_3_2_34_1 doi: 10.1093/jom/ufad028 – ident: e_1_3_2_19_1 doi: 10.1016/0031-3203(87)90031-8 – ident: e_1_3_2_36_1 doi: 10.9734/JAMCS/2017/35610 – ident: e_1_3_2_15_1 doi: 10.1007/s11947-022-02939-5 – start-page: 252 volume-title: E3S Web of Conferences year: 2021 ident: e_1_3_2_2_1 contributor: fullname: Liu W – ident: e_1_3_2_32_1 doi: 10.1080/10298436.2021.1888092 – volume: 41 start-page: 61 issue: 3 year: 2020 ident: e_1_3_2_13_1 article-title: Research on defect detection of X-ray DRsimages of casting based on mask R-CNN publication-title: Chin J Sci Instrum contributor: fullname: Cai B – ident: e_1_3_2_24_1 doi: 10.1016/j.cageo.2008.01.006 – ident: e_1_3_2_35_1 doi: 10.1007/s11760-023-02631-x – volume: 48 start-page: 97 issue: 10 year: 2015 ident: e_1_3_2_3_1 article-title: Analysis on the strain clamp fracture of ACCC publication-title: Electric Power contributor: fullname: Liu C – volume-title: Technical guideline for radiographic inspection for hydraulic crimping quality for fittings in overhead transmission line year: 2017 ident: e_1_3_2_18_1 contributor: fullname: QGDW 11793-2017 – ident: e_1_3_2_23_1 doi: 10.1134/S1054661817040162 – ident: e_1_3_2_6_1 doi: 10.1109/LRA.2020.3003772 – ident: e_1_3_2_29_1 doi: 10.1016/j.microrel.2017.12.032 – ident: e_1_3_2_33_1 doi: 10.1007/s11042-022-12020-0 – volume: 2019 start-page: 872 issue: 16 year: 2019 ident: e_1_3_2_5_1 article-title: Research on detection technology of wire clamp on overhead lines publication-title: J Eng doi: 10.1049/joe.2018.8430 contributor: fullname: Liu R |
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