Quality monitoring based on dynamic resistance and principal component analysis in small scale resistance spot welding process

2016 ◽  
Vol 86 (9-12) ◽  
pp. 3443-3451 ◽  
Author(s):  
Xiaodong Wan ◽  
Yuanxun Wang ◽  
Dawei Zhao
Keyword(s):  
Principal Component Analysis ◽  
Resistance Spot Welding ◽  
Spot Welding ◽  
Welding Process ◽  
Principal Component ◽  
Quality Monitoring ◽  
Small Scale ◽  
Dynamic Resistance ◽  
Resistance Spot ◽  
Scale Resistance

Correlating Variations in the Dynamic Resistance Signature to Weld Strength in Resistance Spot Welding Using Principal Component Analysis

2016 ◽  
Vol 139 (4) ◽  
Author(s):  
David W. Adams ◽  
Cameron D. E. Summerville ◽  
Brendan M. Voss ◽  
Jack Jeswiet ◽  
Matthew C. Doolan
Keyword(s):  
Principal Component Analysis ◽  
Quality Control ◽  
Spot Welding ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Weld Strength ◽  
Dynamic Resistance ◽  
Resistance Spot ◽  
Resistance Spot Welds ◽  
Key Features

Traditional quality control of resistance spot welds by analysis of the dynamic resistance signature (DRS) relies on manual feature selection to reduce the dimensionality prior to analysis. Manually selected features of the DRS may contain information that is not directly correlated to strength, reducing the accuracy of any classification performed. In this paper, correlations between the DRS and weld strength are automatically detected by calculating correlation coefficients between weld strength and principal components of the DRS. The key features of the DRS that correlate to weld strength are identified in a systematic manner. Systematically identifying relevant features of the DRS is useful as the correlations between weld strength and DRS may vary with process parameters.

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