Gang Li

发表

Output Relevant Fault Reconstruction and Fault Subspace Extraction in Total Projection to Latent Structures Models

S. Qin, Donghua Zhou, Gang Li, 2010 .

Comparative study on monitoring schemes for non-Gaussian distributed processes

S. Joe Qin, S. Qin, Gang Li, 2016, Journal of Process Control.

Data-driven root cause diagnosis of faults in process industries

S. Joe Qin, Tao Yuan, Gang Li, 2016, Chemometrics and Intelligent Laboratory Systems.

Dynamic time warping based causality analysis for root-cause diagnosis of nonstationary fault processes

Tianyou Chai, S. Joe Qin, T. Chai, 2015 .

Contribution rate plot for nonlinear quality-related fault diagnosis with application to the hot strip mill process

Kaixiang Peng, Donghua Zhou, Gang Li, 2013 .

Total projection to latent structures for process monitoring

Donghua Zhou, Gang Li, S. Joe Qin, 2009 .

Total PLS Based Contribution Plots for Fault Diagnosis

Gang Li, Dong-Hua Zhou, Si-Zhao Qin, 2009 .

Dynamic latent variable modeling for statistical process monitoring

Donghua Zhou, S. Joe Qin, Gang Li, 2011 .

Fault prognosis technology for non‐Gaussian and nonlinear processes based on KICA reconstruction

Jie Ma, Donghua Zhou, Gang Li, 2018 .

Determining the optimal kernel parameter in KPCA based on sample reconstruction

Donghua Zhou, Gang Li, Xiao He, 2016, CCC 2016.