Jionghua Jin
Jionghua Jin
Geverifieerd e-mailadres voor umich.edu
Geciteerd door
Geciteerd door
State space modeling of sheet metal assembly for dimensional control
J Jin, J Shi
Feature-preserving data compression of stamping tonnage information using wavelets
J Jin, J Shi
Technometrics 41 (4), 327-339, 1999
Automatic feature extraction of waveform signals for in-process diagnostic performance improvement
J Jin, J Shi
Journal of Intelligent Manufacturing 12 (3), 257-268, 2001
A survey on statistical methods for health care fraud detection
J Li, KY Huang, J Jin, J Shi
Health care management science 11 (3), 275-287, 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
Process-oriented tolerancing for multi-station assembly systems
YU Ding, J Jin, D Ceglarek, J Shi
Iie Transactions 37 (6), 493-508, 2005
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
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
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
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
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
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
Characterization of non-linear profiles variations using mixed-effect models and wavelets
K Paynabar, J Jin
Iie transactions 43 (4), 275-290, 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
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
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
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
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
Tool wear monitoring for ultrasonic metal welding of lithium-ion batteries
C Shao, T Hyung Kim, S Jack Hu, JA Abell, J Patrick Spicer
Journal of Manufacturing Science and Engineering 138 (5), 2016
Improving machined surface shape prediction by integrating multi-task learning with cutting force variation modeling
C Shao, J Ren, H Wang, JJ Jin, SJ Hu
Journal of Manufacturing Science and Engineering 139 (1), 2017
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