A novel industrial process monitoring method based on improved local tangent space alignment algorithm. - Jie Dong 004; Chi Zhang 066; Kaixiang Peng (Neurocomputing, 2020)

A new key performance indicator oriented industrial process monitoring and operating performance assessment method based on improved Hessian locally linear embedding. - Hongjun Zhang; Chi Zhang 066; Jie Dong 004; Kaixiang Peng (Int. J. Syst. Sci., 2022)

A Novel Quality-Related Incipient Fault Detection Method Based on Canonical Variate Analysis and Kullback-Leibler Divergence for Large-Scale Industrial Processes. - Jie Dong 004; Lingzhi Jiang; Chi Zhang 066; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2022)

Spatio-temporal feature extraction network based multi-performance indicators synergetic monitoring method for complex industrial processes. - Chi Zhang 066; Jie Dong 004; Kaixiang Peng; Ruitao Sun (Expert Syst. Appl., 2024)

Transferable Manifold Projection Embedded Dictionary Learning for Multimode Process Monitoring. - Jie Dong 004; Ruitao Sun; Chi Zhang 066; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2024)

A Two-Layer Distributed Fault Diagnosis Method Based on Correlation Feature Transfer for Large-Scale Sequential Process Industries. - Chi Zhang 066; Jie Dong 004; Sikun Meng; Zhiyu Cong; Kaixiang Peng (IEEE Trans. Instrum. Meas., 2024)

A KPI-related fault diagnosis method for multimode manufacturing processes based on supervised minimal gated unit and sparse broad learning system. - Chuanfang Zhang 001; Wenxiao Yin; Chi Zhang 066; Kaixiang Peng; Xueyi Zhang (Appl. Soft Comput., 2025)

Quality-Related Spatio-Temporal Information Analytics-Based Multiunit Synergetic Monitoring for Plant-Wide Industrial Processes. - Chi Zhang 066; Jie Dong 004; Kaixiang Peng; Hanwen Zhang 002 (IEEE Trans Autom. Sci. Eng., 2025)