Reference health
A Machine Learning Approach for Efficient and Robust Resistance Spot Welding Monitoring
18/18 checkable references clean · checked 2026-08-28
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
9 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 18 checked references that resolve
resolves10.1007/s40194-016-0419-4
A review of electrical contact resistance modeling in resistance spot welding
resolves10.1115/1.4051680
A Critical Nugget Size Prediction Model for Al–Si-Coated Press Hardened Steel Resistance Spot Welds
resolves10.1016/j.jmapro.2016.06.003
Online monitoring and evaluation of the weld quality of resistance spot welded titanium alloy
resolves10.1016/j.jmapro.2020.12.002
Acoustic emission as a tool for prediction of nugget diameter in resistance spot welding
resolves10.1007/s00170-017-0889-6
Quality assessment of resistance spot welding process based on dynamic resistance signal and random forest based
resolves10.1016/j.measurement.2020.108299
Research on the correlation between dynamic resistance and quality estimation of resistance spot welding
resolves10.1109/TIM.2003.822713
Quality Estimation of Resistance Spot Welding by Using Pattern Recognition With Neural Networks
resolves10.1016/j.ndteint.2009.11.003
Input electrical impedance as quality monitoring signature for characterizing resistance spot welding
resolves10.1016/j.ndteint.2013.01.008
An effective quality assessment method for small scale resistance spot welding based on process parameters
resolves10.3390/met11111874
Investigation of the Extrapolation Capability of an Artificial Neural Network Algorithm in Combination with Process Signals in Resistance Spot Welding of Advanced High-Strength Steels
resolves10.1088/1361-6501/aaa830
Welding quality evaluation of resistance spot welding using the time-varying inductive reactance signal
resolves10.1016/j.jmapro.2020.04.051
A material stack-up combination identification method for resistance spot welding based on dynamic resistance
resolves10.1016/j.jmapro.2020.08.037
Performances of dimension reduction techniques for welding quality prediction based on the dynamic resistance signal
resolves10.1109/SSCI44817.2019.9002995
A fast inverse approach for the quantification of set-theoretical uncertainty
The 9 references without a DOI — listed, not checked
no DOI — not checkedCharacterization of Spot Welding Behavior By Dynamic Electrical Parameter Monitoring
no DOI — not checkedDevelopments in characterization of resistance spot welding of aluminum
no DOI — not checkedOn the information bottleneck theory of deep learning
no DOI — not checkedOnline measurement of weld penetration in robotic resistance spot welding using electrode displacement signals
no DOI — not checkedDynamic resistance based model for on-line resistance spot welding quality assessment
no DOI — not checkedPrimary circuit dynamic resistance monitoring and its application to quality estimation during resistance spot welding
no DOI — not checkedDesign and analysis of computer experiments
no DOI — not checkedA statistical approach to some basic mine valuation problems on the witwatersrand
no DOI — not checkedref27
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