Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure Vessel

According to the characteristics of image defects, this paper integrated use of image preprocessing, image segmentation algorithms, expert systems and other methods, presented a film weld defect identification method for non-destructive testing in the pressure vessel weld defect recognition, and to...

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Main Authors: Du Weidong, Wang Peng, Li Xiaobin, Lv Zhigang, Zhang Feng
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Subjects:
Online Access:http://dx.doi.org/10.1051/matecconf/20166101006
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author Du Weidong
Wang Peng
Li Xiaobin
Lv Zhigang
Zhang Feng
author_facet Du Weidong
Wang Peng
Li Xiaobin
Lv Zhigang
Zhang Feng
author_sort Du Weidong
collection DOAJ
description According to the characteristics of image defects, this paper integrated use of image preprocessing, image segmentation algorithms, expert systems and other methods, presented a film weld defect identification method for non-destructive testing in the pressure vessel weld defect recognition, and to achieve in MATLAB. This paper also described the expert system’s basic principles, structure, establish methods and identification strategy. In the light of the weld defect characteristics from different levels of recognition, through continuous testing to improve the film defect system library and to further enhance the defect recognition rate.
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spelling doaj.art-e7c715259a3c4d6ea6ce814028ac3ee72022-12-21T22:24:15ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01610100610.1051/matecconf/20166101006matecconf_apop2016_01006Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure VesselDu Weidong0Wang Peng1Li Xiaobin2Lv Zhigang3Zhang Feng4Shandong Special Equipment Inspection InstituteSchool of Electronic and Information Engineering, Xi’an Technological UniversitySchool of Electronic and Information Engineering, Xi’an Technological UniversitySchool of Electronic and Information Engineering, Xi’an Technological UniversitySchool of Electronic and Information Engineering, Xi’an Technological UniversityAccording to the characteristics of image defects, this paper integrated use of image preprocessing, image segmentation algorithms, expert systems and other methods, presented a film weld defect identification method for non-destructive testing in the pressure vessel weld defect recognition, and to achieve in MATLAB. This paper also described the expert system’s basic principles, structure, establish methods and identification strategy. In the light of the weld defect characteristics from different levels of recognition, through continuous testing to improve the film defect system library and to further enhance the defect recognition rate.http://dx.doi.org/10.1051/matecconf/20166101006Film DigitizerPressure vesselWeldDefect identification
spellingShingle Du Weidong
Wang Peng
Li Xiaobin
Lv Zhigang
Zhang Feng
Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure Vessel
MATEC Web of Conferences
Film Digitizer
Pressure vessel
Weld
Defect identification
title Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure Vessel
title_full Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure Vessel
title_fullStr Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure Vessel
title_full_unstemmed Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure Vessel
title_short Design of Film Digitizer Equipment and Film Weld DefectRecognition Technology in Pressure Vessel
title_sort design of film digitizer equipment and film weld defectrecognition technology in pressure vessel
topic Film Digitizer
Pressure vessel
Weld
Defect identification
url http://dx.doi.org/10.1051/matecconf/20166101006
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AT lvzhigang designoffilmdigitizerequipmentandfilmwelddefectrecognitiontechnologyinpressurevessel
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