Fuzzy logic surge control in variable speed axial compressors. - Shu Lin; Chunjie Yang 001; Ping Wu 001; Zhihuan Song (ICCA, 2013)

Event-Triggered H∞ Filtering for Multiagent Systems with Markovian Switching Topologies. - Jiahao Li; Tingting Zhang; Jinfeng Gao; Ping Wu 001 (J. Control. Sci. Eng., 2018)

Sparse Kernel Principal Component Analysis via Sequential Approach for Nonlinear Process Monitoring. - Lingling Guo; Ping Wu 001; Jinfeng Gao; Siwei Lou (IEEE Access, 2019)

Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring. - Ping Wu 001; Lingling Guo; Siwei Lou; Jinfeng Gao (IEEE Access, 2019)

Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model. - Yichao Liu; Alessandro Fontanella; Ping Wu 001; Riccardo M. G. Ferrari; Jan-Willem van Wingerden (CoRR, 2020)

Fault Diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: a Mixed Model and Signal-based Approach. - Yichao Liu; Riccardo M. G. Ferrari; Ping Wu 001; Xiaoli Jiang; Sunwei Li; Jan-Willem van Wingerden (CoRR, 2020)

Fast Adaptive Fault Accommodation in Floating Offshore Wind Turbines via Model-Based Fault Diagnosis and Subspace Predictive Repetitive Control. - Yichao Liu; Ping Wu 001; Riccardo M. G. Ferrari; Jan-Willem van Wingerden (CoRR, 2020)

Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control. - Yichao Liu; Joeri Frederik; Riccardo M. G. Ferrari; Ping Wu 001; Sunwei Li; Jan-Willem van Wingerden (CoRR, 2020)

Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN. - Jiajun He 002; Ping Wu 001; Yizhi Tong; Xujie Zhang; Meizhen Lei; Jinfeng Gao (Sensors, 2021)

Data-Driven Incipient Fault Detection via Canonical Variate Dissimilarity and Mixed Kernel Principal Component Analysis. - Ping Wu 001; Riccardo M. G. Ferrari; Yichao Liu; Jan-Willem van Wingerden (IEEE Trans. Ind. Informatics, 2021)

Data-Driven Fault Diagnosis Using Deep Canonical Variate Analysis and Fisher Discriminant Analysis. - Ping Wu 001; Siwei Lou; Xujie Zhang; Jiajun He 002; Yichao Liu; Jinfeng Gao (IEEE Trans. Ind. Informatics, 2021)

Bearing Fault Diagnosis Based on Randomized Fisher Discriminant Analysis. - Hejun Ye; Ping Wu 001; Yifei Huo; Xuemei Wang; Yuchen He; Xujie Zhang; Jinfeng Gao (Sensors, 2022)

Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach. - Siwei Lou; Chunjie Yang 001; Ping Wu 001; Liyuan Kong; Yonghong Xu (IEEE Trans. Instrum. Meas., 2022)

Quality-related Process Monitoring based on Analytic Stationary Subspace Analysis and Kernel Projection To Latent Structures. - Qianqian Pan; Ping Wu 001; Haote Zhou; Zengdi Miu (SAFEPROCESS, 2023)

Adaptive dynamic inferential analytic stationary subspace analysis: A novel method for fault detection in blast furnace ironmaking process. - Siwei Lou; Chunjie Yang 001; Xiongzhuo Zhu; Hanwen Zhang 002; Ping Wu 001 (Inf. Sci., 2023)

Wind Turbine Blade Breakage Monitoring With Mogrifier LSTM Autoencoder. - Ping Wu 001; Yixuan Wang; Xujie Zhang; Jinfeng Gao; Lin Wang 094; Yichao Liu (IEEE Trans. Instrum. Meas., 2023)

A Local Dynamic Broad Kernel Stationary Subspace Analysis for Monitoring Blast Furnace Ironmaking Process. - Siwei Lou; Chunjie Yang 001; Ping Wu 001 (IEEE Trans. Ind. Informatics, 2023)

Novel Data-Driven Deep Learning Assisted CVA for Ironmaking System Prediction and Control. - Siwei Lou; Chunjie Yang 001; Xujie Zhang; Ping Wu 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Blast Furnace Ironmaking Process Monitoring With Time-Constrained Global and Local Nonlinear Analytic Stationary Subspace Analysis. - Siwei Lou; Chunjie Yang 001; Xujie Zhang; Hanwen Zhang 002; Ping Wu 001 (IEEE Trans. Ind. Informatics, 2024)

From Complexity to Clarity: M2KCSVA's Nonlinear Temporal Correlation Analysis and Stationary Estimation Pave the Way for Fault Diagnosis in Ironmaking Processes. - Siwei Lou; Chunjie Yang 001; Xujie Zhang; Hanwen Zhang 002; Ping Wu 001 (IEEE Trans. Ind. Informatics, 2024)

Data-Driven Joint Fault Diagnosis Based on RMK-ASSA and DBSKNet for Blast Furnace Iron-Making Process. - Siwei Lou; Chunjie Yang 001; Ping Wu 001; Yuelin Yang; Liyuan Kong; Xujie Zhang (IEEE Trans Autom. Sci. Eng., 2024)

SFENOSA: A Novel KPI-Related Process Monitoring Method by Slow Feature Extraction and Elastic Net Orthonormal Subspace Analysis. - Ping Wu 001; Qianqian Pan; Xujie Zhang; Siwei Lou; Jinfeng Gao; Chunjie Yang 001 (IEEE Trans. Ind. Informatics, 2024)

FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling. - Ping Wu 001; Zengdi Miao; Ke Wang; Jinfeng Gao; Xujie Zhang; Siwei Lou; Chunjie Yang 001 (Eng. Appl. Artif. Intell., 2025)

VMD-SE-DCNN-CBAM: An Intelligent Cavitation Recognition Method for Canned Motor Pump. - Xiaojun Li; Gengling Wu; Ping Wu 001 (IEEE Trans. Instrum. Meas., 2025)

TKS-BLS: Temporal Kernel Stationary Broad Learning System for Enhanced Modeling, Anomaly Detection, and Incremental Learning With Application to Ironmaking Processes. - Siwei Lou; Chunjie Yang 001; Liyuan Kong; Tao Lin; Hanwen Zhang 002; Ping Wu 001; Li Chai 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Release Power of Mechanism and Data Fusion: A Hierarchical Strategy for Enhanced MIQ-Related Modeling and Fault Detection in BFIP. - Siwei Lou; Chunjie Yang 001; Zhe Liu 028; Shaoqi Wang; Hanwen Zhang 002; Ping Wu 001 (IEEE CAA J. Autom. Sinica, 2025)

Toward In-Depth Mastery of Statistical Properties: Novel Stationary Moment Analysis With Application to Continuous Industrial Anomaly Detection. - Siwei Lou; Chunjie Yang 001; Weibin Wang; Hanwen Zhang 002; Yuchen Zhao; Ping Wu 001 (IEEE Trans. Cybern., 2025)