Kai Zhang

发表

Quality-relevant fault detection and diagnosis for hot strip mill process with multi-specification and multi-batch measurements

Kai-xiang Peng, Kai Zhang, Jie Dong, 2015, J. Frankl. Inst..

Study on small multiplicative fault detection using Canonical Correlation Analysis with the local approach

S. Ding, Kai Zhang, Zhi-wen Chen, 2015 .

Kai-xiang Peng, Kai Zhang, Gang Li, 2013 .

A Novel Lifecycle Operation Performance Evaluation Framework for Plant-Wide Industrial Processes

Kai-xiang Peng, Kai Zhang, Xueyi Zhang, 2021, 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS).

Modelling the strip thickness in hot steel rolling mills using least‐squares support vector machines

Johan A. K. Suykens, Kaixiang Peng, Steven X. Ding, 2018 .

Implementing multivariate statistics-based process monitoring: A comparison of basic data modeling approaches

Kaixiang Peng, Kai Zhang, Jie Dong, 2018, Neurocomputing.

A comparison and evaluation of key performance indicator-based multivariate statistics process monitoring approaches ☆

Kaixiang Peng, Steven X. Ding, Zhiwen Chen, 2015 .

Assessment of T2- and Q-statistics for detecting additive and multiplicative faults in multivariate statistical process monitoring

Kaixiang Peng, Kai Zhang, Steven X. Ding, 2017, J. Frankl. Inst..

Performance Assessment for Process Monitoring and Fault Detection Methods

Kai Zhang, Kai Zhang, 2016, Springer Fachmedien Wiesbaden.

Recursive Subspace-based Predictive Control and Its Application to Fault-tolerant Control

Kaixiang Peng, Steven X. Ding, Xu Yang, 2018 .

Online Contribution Rate Based Fault Diagnosis for Nonlinear Industrial Processes

Gang Li, Kai Zhang, Kai-Xiang Peng, 2014 .

Monitoring of Nonlinear Processes With Multiple Operating Modes Through a Novel Gaussian Mixture Variational Autoencoder Model

Kaixiang Peng, Peng Tang, Jie Dong, 2020, IEEE Access.

An alternative data-driven fault detection scheme for dynamic processes with deterministic disturbances

Kai Zhang, Steven X. Ding, Hao Luo, 2017, J. Frankl. Inst..

A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process

Kaixiang Peng, Kai Zhang, Jie Dong, 2017, J. Frankl. Inst..

Adaptive total PLS based quality-relevant process monitoring with application to the Tennessee Eastman process

Kaixiang Peng, Kai Zhang, Jie Dong, 2015, Neurocomputing.

Comparison Study of Multivariate Statistics Based Key Performance Indicator Monitoring Approaches

Steven X. Ding, Zhiwen Chen, E. L. Ding, 2014 .

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

Kaixiang Peng, Donghua Zhou, Gang Li, 2013 .

A novel data-based quality-related fault diagnosis scheme for fault detection and root cause diagnosis with application to hot strip mill process

Kaixiang Peng, Jie Dong, Liang Ma, 2017 .

Kaixiang Peng, Kai Zhang, Jie Dong, 2015, Neurocomputing.

A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes

Kaixiang Peng, Kai Zhang, Jie Dong, 2016, IEEE Transactions on Industrial Electronics.

A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches

Kaixiang Peng, Yuri A. W. Shardt, Kai Zhang, 2018, IEEE Access.

Using the expected detection delay to assess the performance of different multivariate statistical process monitoring methods for multiplicative and drift faults.

Kaixiang Peng, Zhiwen Chen, Yuri A. W. Shardt, 2017, ISA transactions.

A brief survey of different statistics for detecting multiplicative faults in multivariate statistical process monitoring

Kaixiang Peng, Kai Zhang, Steven X. Ding, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

A Distributed Canonical Correlation Analysis-Based Fault Detection Method for Plant-Wide Process Monitoring

Yue Cao, Steven X. Ding, Weihua Gui, 2019, IEEE Transactions on Industrial Informatics.

A Deep Belief Network-based Fault Detection Method for Nonlinear Processes

Kaixiang Peng, Zhiwen Chen, Xu Yang, 2018 .

Kaixiang Peng, Kai Zhang, Jie Dong, 2016, Neurocomputing.

A Common and Individual Feature Extraction-Based Multimode Process Monitoring Method With Application to the Finishing Mill Process

Kaixiang Peng, Jie Dong, Kai Zhang, 2018, IEEE Transactions on Industrial Informatics.

Improved canonical correlation analysis-based fault detection methods for industrial processes

Steven X. Ding, Zhiwen Chen, Zhikun Hu, 2016 .

A New Multiphase Process Monitoring Method with Application to a Hot Rolling Mill Process

Kai-xiang Peng, Kai Zhang, Yongbo Zhang, 2022, 2022 China Automation Congress (CAC).

Canonical correlation analysis-based fault detection methods with application to alumina evaporation process

Steven X. Ding, Kai Zhang, Zhiwen Chen, 2016 .

A KPI-based process monitoring and fault detection framework for large-scale processes.

Kaixiang Peng, Xu Yang, Yuri A. W. Shardt, 2017, ISA transactions.

Data-Driven Detection of Hot Spots in Photovoltaic Energy Systems

Bin Jiang, Kai Zhang, Hongtian Chen, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process

Kaixiang Peng, Steven X. Ding, Xu Yang, 2020, IEEE Transactions on Industrial Electronics.

A Novel Feature-Extraction-Based Process Monitoring Method for Multimode Processes With Common Features and Its Applications to a Rolling Process

Kai Zhang, Kaixiang Peng, Shanshan Zhao, 2021, IEEE Transactions on Industrial Informatics.

A Canonical Variate Analysis based Process Monitoring Scheme and Benchmark Study

Zhangming He, Steven X. Ding, Haiyang Hao, 2014 .

A data-driven multiplicative fault diagnosis approach for automation processes.

Yaguo Lei, Haiyang Hao, Kai Zhang, 2014, ISA transactions.