Deep learning assisted vision inspection of resistance spot welds

Applications of ultrasonic testing and machine learning methods to predict the static & fatigue behavior of spot-welded joints

(2020) N. Amiri et al.   Journal of Manufacturing Processes

A quality diagnosis method of GMAW based on improved empirical mode decomposition and extreme learning machine

(2020) Yong Huang et al.   Journal of Manufacturing Processes

A Novel Method of Using Vision System and Fuzzy Logic for Quality Estimation of Resistance Spot Welding

(2019) Alghannam et al.   Symmetry-Basel

Weld image deep learning-based on-line defects detection using convolutional neural networks for Al alloy in robotic arc welding

(2019) Zhifen Zhang et al.   Journal of Manufacturing Processes

Automated defect classification of Aluminium 5083 TIG welding using HDR camera and neural networks

(2019) Daniel Bacioiu et al.   Journal of Manufacturing Processes

Online quantitative evaluation of expulsion in resistance spot welding

(2019) Yu-Jun Xia et al.   Journal of Manufacturing Processes

Defect intelligent identification in resistance spot welding ultrasonic detection based on wavelet packet and neural network

(2016) Jing Liu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Online monitoring and evaluation of the weld quality of resistance spot welded titanium alloy

(2016) S. Chen et al.   Journal of Manufacturing Processes

The Pascal Visual Object Classes Challenge: A Retrospective

(2014) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Magnetic Nondestructive Test for Resistance Spot Welds Using Magnetic Flux Penetration and Eddy Current Methods

(2013) Keiji Tsukada et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

Thermographic testing of spot welds

(2012) J. Schlichting et al.   NDT & E INTERNATIONAL

A magnetic flux leakage method using a magnetoresistive sensor for nondestructive evaluation of spot welds

(2010) Keiji Tsukada et al.   NDT & E INTERNATIONAL