State space modeling of sheet metal assembly for dimensional control J Jin, J Shi | 581 | 1999 |
Feature-preserving data compression of stamping tonnage information using wavelets J Jin, J Shi Technometrics 41 (4), 327-339, 1999 | 279 | 1999 |
Automatic feature extraction of waveform signals for in-process diagnostic performance improvement J Jin, J Shi Journal of Intelligent Manufacturing 12, 257-268, 2001 | 264 | 2001 |
A survey on statistical methods for health care fraud detection J Li, KY Huang, J Jin, J Shi Health care management science 11, 275-287, 2008 | 255 | 2008 |
Optimal sensor distribution for variation diagnosis in multistation assembly processes Y Ding, P Kim, D Ceglarek, J Jin IEEE Transactions on Robotics and Automation 19 (4), 543-556, 2003 | 157 | 2003 |
Process-oriented tolerancing for multi-station assembly systems YU Ding, J Jin, D Ceglarek, J Shi Iie Transactions 37 (6), 493-508, 2005 | 142 | 2005 |
Feature selection for manufacturing process monitoring using cross-validation C Shao, K Paynabar, TH Kim, JJ Jin, SJ Hu, JP Spicer, H Wang, JA Abell Journal of Manufacturing Systems 32 (4), 550-555, 2013 | 129 | 2013 |
Diagnostic feature extraction from stamping tonnage signals based on design of experiments J Jin, J Shi J. Manuf. Sci. Eng. 122 (2), 360-369, 2000 | 128 | 2000 |
Quality-reliability chain modeling for system-reliability analysis of complex manufacturing processes Y Chen, J Jin IEEE Transactions on Reliability 54 (3), 475-488, 2005 | 124 | 2005 |
Causation-Based T2 Decomposition for Multivariate Process Monitoring and Diagnosis J Li, J Jin, J Shi Journal of Quality Technology 40 (1), 46-58, 2008 | 111 | 2008 |
State space modeling for 3-D variation propagation in rigid-body multistage assembly processes J Liu, J Jin, J Shi IEEE Transactions on Automation Science and Engineering 7 (2), 274-290, 2009 | 101 | 2009 |
Monitoring and diagnosis of multichannel nonlinear profile variations using uncorrelated multilinear principal component analysis K Paynabar, J Jin, M Pacella Iie transactions 45 (11), 1235-1247, 2013 | 85 | 2013 |
Characterization of non-linear profiles variations using mixed-effect models and wavelets K Paynabar, J Jin IIE transactions 43 (4), 275-290, 2011 | 79 | 2011 |
Phase I risk-adjusted control charts for monitoring surgical performance by considering categorical covariates K Paynabar, J Jin, AB Yeh Journal of Quality Technology 44 (1), 39-53, 2012 | 76 | 2012 |
Quality and reliability information integration for design evaluation of fixture system reliability J Jin, Y Chen Quality and Reliability Engineering International 17 (5), 355-372, 2001 | 70 | 2001 |
Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods W Guo, C Shao, TH Kim, SJ Hu, JJ Jin, JP Spicer, H Wang Journal of Manufacturing Systems 38, 141-150, 2016 | 67 | 2016 |
Tool wear monitoring for ultrasonic metal welding of lithium-ion batteries C Shao, T Hyung Kim, S Jack Hu, J Jin, JA Abell, J Patrick Spicer Journal of Manufacturing Science and Engineering 138 (5), 051005, 2016 | 64 | 2016 |
Integration of process-oriented tolerancing and maintenance planning in design of multistation manufacturing processes Y Chen, Y Ding, J Jin, D Ceglarek IEEE Transactions on Automation Science and Engineering 3 (4), 440-453, 2006 | 62 | 2006 |
System reliability assessment with multilevel information using the Bayesian melding method J Guo, ZS Li, JJ Jin Reliability Engineering & System Safety 170, 146-158, 2018 | 60 | 2018 |
Improving machined surface shape prediction by integrating multi-task learning with cutting force variation modeling C Shao, J Ren, H Wang, J Jin, SJ Hu Journal of Manufacturing Science and Engineering 139 (1), 011014, 2017 | 52 | 2017 |