Correlating variations in the dynamic resistance signature to weld strength in resistance spot welding using principal component analysis

David W. Adams; Cameron D.E. Summerville; Brendan M. Voss; Jack Jeswiet; Matthew C. Doolan

doi:10.1115/1.4034887

Correlating variations in the dynamic resistance signature to weld strength in resistance spot welding using principal component analysis

David W. Adams, Cameron D.E. Summerville, Brendan M. Voss, Jack Jeswiet, Matthew C. Doolan

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

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.

Original language	English
Article number	044502
Journal	Journal of Manufacturing Science and Engineering
Volume	139
Issue number	4
DOIs	https://doi.org/10.1115/1.4034887
Publication status	Published - 1 Apr 2017

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title = "Correlating variations in the dynamic resistance signature to weld strength in resistance spot welding using principal component analysis",

abstract = "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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author = "Adams, {David W.} and Summerville, {Cameron D.E.} and Voss, {Brendan M.} and Jack Jeswiet and Doolan, {Matthew C.}",

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AU - Summerville, Cameron D.E.

AU - Voss, Brendan M.

AU - Jeswiet, Jack

AU - Doolan, Matthew C.

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N2 - 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.

AB - 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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Correlating variations in the dynamic resistance signature to weld strength in resistance spot welding using principal component analysis

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