Ultrasonic testing of spot weld based on spectrum analysis and artificial neural network - 文章详情页

作者：

Chen, Zhenhua (Chen, Zhenhua.) | Shi, Yaowu (Shi, Yaowu.) | Zhao, Haiyan (Zhao, Haiyan.)

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摘要：

The　spectrum　of　testing　signal　for　the　spot　weld　test　is　analyzed　and　the　characteristic　vector　which　can　indicate　the　characteristics　of　the　signal　spectrum　of　ultrasonic　signals　for　spot　weld　is　obtained.　Through　using　the　vector　as　input　data,　an　artificial　neural　network　is　proposed　to　classify　the　resistance　spot　welds　in　the　different　diameter　level.　The　testing　method　proposed　in　the　paper　has　the　advantages　of　higher　recognition　ability,　higher　efficiency　and　smaller　interference　factors　compared　to　the　traditional　methods.

关键词：

Ability testing Neural networks Spectrum analysis Spot welding Ultrasonic testing Welds

作者机构：

[ 1 ] [Chen, Zhenhua]School of Materials Science and Engineering, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Shi, Yaowu]School of Materials Science and Engineering, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Zhao, Haiyan]Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China

通讯作者信息：

电子邮件地址：

zhchen2@emails.bjut.edu.cn

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