Kaixiang Peng
Orcid: 0000-0001-8314-3047
According to our database1,
Kaixiang Peng
authored at least 105 papers
between 2005 and 2024.
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Bibliography
2024
Finite-time switching-like sliding mode fault-tolerant control for discrete-time cyber-physical systems under DoS attacks and intermittent faults.
Appl. Math. Comput., May, 2024
Unified Solutions to Optimal Fuzzy Observer-Based Fault Detection for Discrete-Time Nonlinear Systems.
IEEE Trans. Fuzzy Syst., April, 2024
A Novel Quality-Related Distributed Fault Diagnosis Framework for Large-Scale Sequential Manufacturing Processes.
IEEE Trans. Ind. Informatics, March, 2024
A novel method of neural network model predictive control integrated process monitoring and applications to hot rolling process.
Expert Syst. Appl., March, 2024
A missing manufacturing process data imputation framework for nonlinear dynamic soft sensor modeling and its application.
Expert Syst. Appl., March, 2024
Remaining useful life prediction for motor systems by iteratively updated wiener process based on closed-loop performance degradation monitoring.
J. Syst. Control. Eng., January, 2024
Fixed-time tracking control of manipulators based on non-singular fast terminal sliding surface.
J. Intell. Fuzzy Syst., January, 2024
A Two-Layer Distributed Fault Diagnosis Method Based on Correlation Feature Transfer for Large-Scale Sequential Process Industries.
IEEE Trans. Instrum. Meas., 2024
Fuzzy Observer-Based Finite-Time Command Filtered Tracking Control for Uncertain Strict-Feedback Nonlinear Systems with Sensor Faults.
Int. J. Fuzzy Syst., 2024
Command Filtered Adaptive Fault-Tolerant Fixed-Time Control of Nonlinear Systems Based on Tuning Functions.
Int. J. Fuzzy Syst., 2024
Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction.
CoRR, 2024
2023
A Novel Distributed CVRAE-Based Spatio-Temporal Process Monitoring Method With Its Application.
IEEE Trans. Ind. Informatics, November, 2023
Fixed-time bounded H infinity tracking control of a single-joint manipulator system with input saturation.
Int. J. Control, September, 2023
Corrigendum for "Research on robotic manipulator fault detection and diagnosis technology based on machine vision in complex environments".
J. Field Robotics, August, 2023
Adaptive Fixed-Time Tracking Control for Nonlinear Systems Based on Finite-Time Command-Filtered Backstepping.
IEEE Trans. Fuzzy Syst., May, 2023
Research on robotic manipulator fault detection and diagnosis technology based on machine vision in complex environments.
J. Field Robotics, March, 2023
From Nonlinear Dominant System to Linear Dominant System: Virtual Equivalent System Approach for Multiple Variable Self-Tuning Control System Analysis.
Entropy, January, 2023
A Robust Fault Classification Method for Streaming Industrial Data Based on Wasserstein Generative Adversarial Network and Semi-Supervised Ladder Network.
IEEE Trans. Instrum. Meas., 2023
Distributed Quality-Related Process Monitoring Framework Using Parallel DVIB-VAE-mRMR for Large-Scale Processes.
IEEE Trans. Instrum. Meas., 2023
Bidirectional Minimal Gated Unit-Based Nonlinear Dynamic Soft Sensor Modeling Framework for Quality Prediction in Process Industries.
IEEE Trans. Instrum. Meas., 2023
Hierarchical Causal Graph-Based Fault Root Cause Diagnosis and Propagation Path Identification for Complex Industrial Process Monitoring.
IEEE Trans. Instrum. Meas., 2023
Stochastic Uncertain Degradation Modeling and Remaining Useful Life Prediction Considering Aleatory and Epistemic Uncertainty.
IEEE Trans. Instrum. Meas., 2023
A comprehensive operating performance assessment framework based on distributed Siamese gated recurrent unit for hot strip mill process.
Appl. Soft Comput., 2023
Exergy-related Operating Performance Assessment for Hot Rolling Process Based on Multiple imputation and Multi-class Support Vector Data Description.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
A Survey of Few-shot Learning-based Compound Fault Diagnosis Methods for Industrial Processes.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
2022
A Practical Root Cause Diagnosis Framework for Quality-Related Faults in Manufacturing Processes With Irregular Sampling Measurements.
IEEE Trans. Instrum. Meas., 2022
A Novel Fault Detection Method Based on the Extraction of Slow Features for Dynamic Nonstationary Processes.
IEEE Trans. Instrum. Meas., 2022
A Novel Quality-Related Incipient Fault Detection Method Based on Canonical Variate Analysis and Kullback-Leibler Divergence for Large-Scale Industrial Processes.
IEEE Trans. Instrum. Meas., 2022
A Residual-Generator-Based Plug-and-Play Control Scheme Toward Enhancing Power Quality in AC Microgrids.
IEEE Trans. Ind. Electron., 2022
A Novel Multilabel Classification Framework for Coupling Faults in Hot Rolling Processes.
IEEE Trans. Control. Syst. Technol., 2022
A process monitoring and fault isolation framework based on variational autoencoders and branch and bound method.
J. Frankl. Inst., 2022
A new key performance indicator oriented industrial process monitoring and operating performance assessment method based on improved Hessian locally linear embedding.
Int. J. Syst. Sci., 2022
A novel distributed detection framework for quality-related faults in industrial plant-wide processes.
Neurocomputing, 2022
KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process.
Expert Syst. Appl., 2022
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games.
Auton. Intell. Syst., 2022
Distributed Operating Performance Assessment for Hot Strip Mill Process Based on Probabilistic Support Tensor Data Description with Feature Tensor.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
2021
Neural Networks-Based Fault Tolerant Control of a Robot via Fast Terminal Sliding Mode.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Novel Feature-Extraction-Based Process Monitoring Method for Multimode Processes With Common Features and Its Applications to a Rolling Process.
IEEE Trans. Ind. Informatics, 2021
Double-Layer Distributed Monitoring Based on Sequential Correlation Information for Large-Scale Industrial Processes in Dynamic and Static States.
IEEE Trans. Ind. Informatics, 2021
Boundary Output Feedback Control for a Flexible Two-Link Manipulator System With High-Gain Observers.
IEEE Trans. Control. Syst. Technol., 2021
A novel decentralized detection framework for quality-related faults in manufacturing industrial processes.
Neurocomputing, 2021
Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks.
IEEE CAA J. Autom. Sinica, 2021
An extensible quality-related fault isolation framework based on dual broad partial least squares with application to the hot rolling process.
Expert Syst. Appl., 2021
Adaptive Weighting Strategy based Multi-sensor Data Fusion Method for Condition Monitoring of Reciprocating Pump.
Proceedings of the CAA Symposium on Fault Detection, 2021
Quality Anomaly Monitoring and Comprehensive Diagnosis Framework for Plant-wide Process Industries with Spatio-Temporal Coordination.
Proceedings of the CAA Symposium on Fault Detection, 2021
Proceedings of the CAA Symposium on Fault Detection, 2021
A Quality-related Fault Detection Method for Nonlinear Industrial Processes Based on Mixed Kernel Partial Least Squares.
Proceedings of the CAA Symposium on Fault Detection, 2021
Data augmentation for fault prediction of aircraft engine with generative adversarial networks.
Proceedings of the CAA Symposium on Fault Detection, 2021
A Novel Fault Assessment Method Integrating Global and Local Information for Industrial Processes.
Proceedings of the CAA Symposium on Fault Detection, 2021
Fault Identification and Remaining Useful Life Prediction for Complex Equipment under Multiple Fault Modes.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter.
IEEE Trans. Instrum. Meas., 2020
A Novel Robust Semisupervised Classification Framework for Quality-Related Coupling Faults in Manufacturing Industries.
IEEE Trans. Ind. Informatics, 2020
Performance-Based Fault-Tolerant Control Approaches For Industrial Processes With Multiplicative Faults.
IEEE Trans. Ind. Informatics, 2020
A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process.
IEEE Trans. Ind. Electron., 2020
A Novel Hierarchical Detection and Isolation Framework for Quality-Related Multiple Faults in Large-Scale Processes.
IEEE Trans. Ind. Electron., 2020
Fault monitoring and remaining useful life prediction framework for multiple fault modes in prognostics.
Reliab. Eng. Syst. Saf., 2020
Robust recursive filtering for uncertain stochastic systems with amplify-and-forward relays.
Int. J. Syst. Sci., 2020
A novel industrial process monitoring method based on improved local tangent space alignment algorithm.
Neurocomputing, 2020
Data-driven design of fault-tolerant control systems based on recursive stable image representation.
Autom., 2020
Monitoring of Nonlinear Processes With Multiple Operating Modes Through a Novel Gaussian Mixture Variational Autoencoder Model.
IEEE Access, 2020
Just-in-Time Learning-Based Soft Sensor for Mechanical Properties of Strip Steel via Multi-Block Weighted Semisupervised Models.
IEEE Access, 2020
2019
Hierarchical Monitoring and Root-Cause Diagnosis Framework for Key Performance Indicator-Related Multiple Faults in Process Industries.
IEEE Trans. Ind. Informatics, 2019
A novel plant-wide process monitoring framework based on distributed Gap-SVDD with adaptive radius.
Neurocomputing, 2019
A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter.
Neurocomputing, 2019
Performance-based fault detection and fault-tolerant control for automatic control systems.
Autom., 2019
A New Hierarchical Framework for Detection and Isolation of Multiple Faults in Complex Industrial Processes.
IEEE Access, 2019
IEEE Access, 2019
Quality Monitoring and Root Cause Diagnosis for Industrial Processes Based on Lasso-SAE-CCA.
IEEE Access, 2019
A Kernel Canonical Correlation Analysis-Based Fault Detection Method with Application to a Hot Tandem Rolling Mill Process.
Proceedings of the CAA Symposium on Fault Detection, 2019
A Novel Scheme for Remaining Useful Life Prediction and Safety Assessment Based on Hybrid Method.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties.
IEEE Trans. Neural Networks Learn. Syst., 2018
A Common and Individual Feature Extraction-Based Multimode Process Monitoring Method With Application to the Finishing Mill Process.
IEEE Trans. Ind. Informatics, 2018
A Fault Detection Approach for Nonlinear Systems Based on Data-Driven Realizations of Fuzzy Kernel Representations.
IEEE Trans. Fuzzy Syst., 2018
Time-Varying Fault Diagnosis for Asynchronous Multisensor Systems Based on Augmented IMM and Strong Tracking Filtering.
J. Control. Sci. Eng., 2018
A practical propagation path identification scheme for quality-related faults based on nonlinear dynamic latent variable model and partitioned Bayesian network.
J. Frankl. Inst., 2018
Implementing multivariate statistics-based process monitoring: A comparison of basic data modeling approaches.
Neurocomputing, 2018
Root cause diagnosis of quality-related faults in industrial multimode processes using robust Gaussian mixture model and transfer entropy.
Neurocomputing, 2018
Appl. Soft Comput., 2018
A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches.
IEEE Access, 2018
Data-Driven Quality Monitoring Techniques for Distributed Parameter Systems With Application to Hot-Rolled Strip Laminar Cooling Process.
IEEE Access, 2018
2017
An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process.
J. Control. Sci. Eng., 2017
Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion.
J. Control. Sci. Eng., 2017
Assessment of <i>T</i><sup>2</sup>- and <i>Q</i>-statistics for detecting additive and multiplicative faults in multivariate statistical process monitoring.
J. Frankl. Inst., 2017
A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process.
J. Frankl. Inst., 2017
Event-triggered fault detection framework based on subspace identification method for the networked control systems.
Neurocomputing, 2017
An optimal fault detection approach for piecewise affine systems via diagnostic observers.
Autom., 2017
Joint Data-Driven Fault Diagnosis Integrating Causality Graph With Statistical Process Monitoring for Complex Industrial Processes.
IEEE Access, 2017
2016
IEEE Trans. Ind. Electron., 2016
A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes.
IEEE Trans. Ind. Electron., 2016
A classification and regression algorithm based on quantitative association rule tree.
J. Intell. Fuzzy Syst., 2016
Quality-related fault detection using linear and nonlinear principal component regression.
J. Frankl. Inst., 2016
Quality-related process monitoring for dynamic non-Gaussian batch process with multi-phase using a new data-driven method.
Neurocomputing, 2016
A brief survey of different statistics for detecting multiplicative faults in multivariate statistical process monitoring.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Quality-relevant fault detection and diagnosis for hot strip mill process with multi-specification and multi-batch measurements.
J. Frankl. Inst., 2015
Quality-related prediction and monitoring of multi-mode processes using multiple PLS with application to an industrial hot strip mill.
Neurocomputing, 2015
Adaptive total PLS based quality-relevant process monitoring with application to the Tennessee Eastman process.
Neurocomputing, 2015
2014
A new data-driven process monitoring scheme for key performance indictors with application to hot strip mill process.
J. Frankl. Inst., 2014
2013
A Novel Scheme for Key Performance Indicator Prediction and Diagnosis With Application to an Industrial Hot Strip Mill.
IEEE Trans. Ind. Informatics, 2013
2012
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012
2010
Proceedings of the 11th International Conference on Control, 2010
Proceedings of the 11th International Conference on Control, 2010
2009
Classification Technology for Automatic Surface Defects Detection of Steel Strip Based on Improved BP Algorithm.
Proceedings of the Fifth International Conference on Natural Computation, 2009
2005
Multi-resolution hardness feed-forward automatic gauge control for hot-rolling mill based on wavelets.
Proceedings of the American Control Conference, 2005