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Author:

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

Indexed by:

EI Scopus PKU CSCD

Abstract:

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.

Keyword:

Neural networks Ability testing Spot welding Welds Spectrum analysis Ultrasonic testing

Author Community:

  • [ 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

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Source :

Transactions of the China Welding Institution

ISSN: 0253-360X

Year: 2009

Issue: 10

Volume: 30

Page: 76-80

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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