Fault detection and isolation in hybrid process systems using a combined data-driven and observer-design methodology. - Chudong Tong; Nael H. El-Farra; Ahmet Palazoglu (ACC, 2014)

Energy management for the chlor-alkali process with hybrid renewable energy generation using receding horizon optimization. - Xiaonan Wang 002; Chudong Tong; Ahmet Palazoglu; Nael H. El-Farra (CDC, 2014)

Evolutionary optimization with adaptive surrogates and its application in crude oil distillation. - Xuhua Shi; Chudong Tong; Li Wang (SSCI, 2016)

Decentralized Monitoring of Dynamic Processes Based on Dynamic Feature Selection and Informative Fault Pattern Dissimilarity. - Chudong Tong; Xuhua Shi (IEEE Trans. Ind. Electron., 2016)

A Novel Decentralized Process Monitoring Scheme Using a Modified Multiblock PCA Algorithm. - Chudong Tong; Xuefeng Yan (IEEE Trans Autom. Sci. Eng., 2017)

KPI relevant and irrelevant fault monitoring with neighborhood component analysis and two-level PLS. - Ting Lan; Chudong Tong; Xiaoxia Chen; Xuhua Shi; Yuwei Chen (J. Frankl. Inst., 2018)

Nonlinear process monitoring based on decentralized generalized regression neural networks. - Ting Lan; Chudong Tong; Haizhen Yu; Xuhua Shi; Lijia Luo (Expert Syst. Appl., 2020)

Canonical correlation analysis-based explicit relation discovery for statistical process monitoring. - Shengjun Meng; Chudong Tong; Ting Lan; Haizhen Yu (J. Frankl. Inst., 2020)

Fault detection based on auto-regressive extreme learning machine for nonlinear dynamic processes. - Yang Chen; Chudong Tong; Yinghui Ge; Ting Lan (Appl. Soft Comput., 2021)

Multivariate statistical process monitoring based on principal discriminative component analysis. - Shanzhi Li; Yang Chen; Chudong Tong (J. Frankl. Inst., 2021)

A multigroup fault detection and diagnosis framework for large-scale industrial systems using nonlinear multivariate analysis. - Enliang Yu; Lijia Luo; Xin Peng; Chudong Tong (Expert Syst. Appl., 2022)

Discriminative and regularized echo state network for time series classification. - Heshan Wang; Yuxi Liu; Dongshu Wang; Yong Luo; Chudong Tong; Zhaomin Lv (Pattern Recognit., 2022)

Statistical Process Monitoring Based on Ensemble Structure Analysis. - Likang Shi; Chudong Tong; Ting Lan; Xuhua Shi (IEEE CAA J. Autom. Sinica, 2024)

PVA-BLS: Polynomial vector autoregression broad learning system for multivariate time series prediction. - Chudong Tong; Liangkun Guo; Bowen Sun; Zhepeng Wang 003; Heshan Wang (Knowl. Based Syst., 2025)