Record number :
91769
Title of article :
Quality estimation of resistance spot welding by using pattern recognition with neural networks
Author/Authors :
Cho، Yongjoon نويسنده , , S.، Rhee, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Pages :
-32
From page :
33
To page :
0
Abstract :
A quality estimation system of resistance spot welding has been developed using a dynamic resistance pattern. Dynamic resistance is monitored in the primary circuit of the welding machine and is mapped into a bipolarized vector for pattern recognition. The Hopfield neural network classifies the pattern vectors and utilizes them to estimate weld quality. Weld strength measurements have been made to examine the performance of the estimation system. Good agreement is obtained between the classified results and tensileshear strengths. For a better understanding of the estimation process of the network, an example in which the dynamic resistance is classified into the stored pattern is also illustrated.
Keywords :
Power-aware
Journal title :
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Journal title :
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Serial Year :
2004
Link To Document :
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