Study on Effect of Process Variable on Fastening Quality Using Process Monitoring Data of Flow Drill Screwed 590DP Steel/AA5052 combination
Journal of Welding and Joining. 2022;40(3):256-264 
A Study on the Effect of the Process Parameters on Joint Quality in SOP(Screwing On Plate) Flow Drill Screw Joining Process
Journal of Welding and Joining. 2019;37(1):69-75
Linear latent variable regression (LVR)-based process monitoring
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. 2021;19-70
Multiscale latent variable regression-based process monitoring methods
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. 2021;155-191
Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry
Computers & Chemical Engineering. 2008;32(1-2):12-24
A non-destructive quality assessment for blind-fastener installations based on the combination of ultrasound techniques and real-time monitoring of the fastening process
The International Journal of Advanced Manufacturing Technology. 2015;
Process Monitoring Using Hidden Markov Models
Quality and Reliability Engineering International. 2013;30(8):1379-1387
Nonlinear latent variable regression methods
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. 2021;119-154
Improved quality of continuous flow manufacturing through the combination of statistical process control and conventional computer process control
Microelectronics Reliability. 1989;29(6):1095-1096
Study on Dissimilar Butt Joining of Aluminum Alloy, AA5052 and High Strength Low Alloy Steel through a Modified FSW Process
Materials Science Forum. 2015;830-831:278-281