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2020 – today
- 2025
- [j101]Xufeng Lin, Yanyan Hu, Xuechun Zhang, Kaixiang Peng:
Encoding-decoding-based distributed state estimation over sensor networks with limited sensing range under DoS attacks. Neurocomputing 611: 128713 (2025) - 2024
- [j100]Xinyu Guan, Yanyan Hu, Kaixiang Peng:
Finite-time switching-like sliding mode fault-tolerant control for discrete-time cyber-physical systems under DoS attacks and intermittent faults. Appl. Math. Comput. 469: 128530 (2024) - [j99]Xuerui Cao, Kaixiang Peng, Ruihua Jiao:
Degradation modeling and remaining life prediction for a multi-component system under triple uncertainties. Comput. Ind. Eng. 195: 110432 (2024) - [j98]Liang Ma, Mengwei Wang, Kaixiang Peng:
A missing manufacturing process data imputation framework for nonlinear dynamic soft sensor modeling and its application. Expert Syst. Appl. 237(Part A): 121428 (2024) - [j97]Qingquan Xu, Jie Dong, Kaixiang Peng, Xuyan Yang:
A novel method of neural network model predictive control integrated process monitoring and applications to hot rolling process. Expert Syst. Appl. 237(Part B): 121682 (2024) - [j96]Xueyi Zhang, Liang Ma, Kaixiang Peng, Chuanfang Zhang, Muhammad Asfandyar Shahid:
A cloud-edge collaboration based quality-related hierarchical fault detection framework for large-scale manufacturing processes. Expert Syst. Appl. 256: 124909 (2024) - [j95]Chi Zhang, Jie Dong, Kaixiang Peng, Ruitao Sun:
Spatio-temporal feature extraction network based multi-performance indicators synergetic monitoring method for complex industrial processes. Expert Syst. Appl. 257: 125052 (2024) - [j94]Hongji Qi, Ming Chen, Kaixiang Peng:
Command Filtered Adaptive Fault-Tolerant Fixed-Time Control of Nonlinear Systems Based on Tuning Functions. Int. J. Fuzzy Syst. 26(1): 168-181 (2024) - [j93]Yue Sun, Ming Chen, Kaixiang Peng, Li-Bing Wu, Cungen Liu:
Fuzzy Observer-Based Finite-Time Command Filtered Tracking Control for Uncertain Strict-Feedback Nonlinear Systems with Sensor Faults. Int. J. Fuzzy Syst. 26(2): 659-673 (2024) - [j92]Yue Sun, Ming Chen, Kaixiang Peng, Libing Wu, Cungen Liu:
Finite-time adaptive optimal control of uncertain strict-feedback nonlinear systems based on fuzzy observer and reinforcement learning. Int. J. Syst. Sci. 55(8): 1553-1570 (2024) - [j91]Dan Li, Ming Chen, Kaixiang Peng, Libing Wu:
Fixed-time tracking control of manipulators based on non-singular fast terminal sliding surface. J. Intell. Fuzzy Syst. 46(1): 2971-2979 (2024) - [j90]Xia Wu, Xu Yang, Jian Huang, Kaixiang Peng:
Remaining useful life prediction for motor systems by iteratively updated wiener process based on closed-loop performance degradation monitoring. J. Syst. Control. Eng. 238(1): 3-15 (2024) - [j89]Qing Li, Yangfan Wang, Jie Dong, Chi Zhang, Kaixiang Peng:
Multi-node knowledge graph assisted distributed fault detection for large-scale industrial processes based on graph attention network and bidirectional LSTMs. Neural Networks 173: 106210 (2024) - [j88]En Fu, Yanyan Hu, Kaixiang Peng, Yuxin Chu:
Supervised contrastive learning based dual-mixer model for Remaining Useful Life prediction. Reliab. Eng. Syst. Saf. 251: 110398 (2024) - [j87]Jinghui Pan, Lili Qu, Kaixiang Peng:
Fast and High Accuracy CSM Control Under Manipulator Actuator Fault Conditions. IEEE Trans Autom. Sci. Eng. 21(3): 2593-2603 (2024) - [j86]Liang Ma, Mengwei Wang, Kaixiang Peng:
Nonlinear Dynamic Granger Causality Analysis Framework for Root-Cause Diagnosis of Quality-Related Faults in Manufacturing Processes. IEEE Trans Autom. Sci. Eng. 21(3): 3554-3563 (2024) - [j85]Xuerui Cao, Kaixiang Peng:
An Uncertain Random Process-Based Degradation Model for Remaining Useful Life Prediction Considering Triple Uncertainty. IEEE Trans. Circuits Syst. II Express Briefs 71(9): 4376-4380 (2024) - [j84]Linlin Li, Haili Zhang, Steven X. Ding, Liang Qiao, Kaixiang Peng, Xin Peng:
Unified Solutions to Optimal Fuzzy Observer-Based Fault Detection for Discrete-Time Nonlinear Systems. IEEE Trans. Fuzzy Syst. 32(4): 1991-2004 (2024) - [j83]Xueyi Zhang, Liang Ma, Kaixiang Peng, Chuanfang Zhang:
A Novel Quality-Related Distributed Fault Diagnosis Framework for Large-Scale Sequential Manufacturing Processes. IEEE Trans. Ind. Informatics 20(3): 4397-4407 (2024) - [j82]Jie Dong, Ruitao Sun, Chi Zhang, Kaixiang Peng:
Transferable Manifold Projection Embedded Dictionary Learning for Multimode Process Monitoring. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j81]Jian Huang, Xiaoyang Sun, Xu Yang, Kaixiang Peng:
Optimized Distributed Nonstationary Process Monitoring Approach Based on Fault-Related Information and Partial Correlation Fusion. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j80]Liang Ma, Mengwei Wang, Kaixiang Peng:
A Spatiotemporal Industrial Soft Sensor Modeling Scheme for Quality Prediction With Missing Data. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j79]Kaixiang Peng, Jiahao Wang, Hui Yang, Xin Qin:
A Semi-Supervised Quality Soft Sensing Method Under Multiple Operating Conditions for Complex Product Manufacturing Processes. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j78]Chi Zhang, Jie Dong, Sikun Meng, Zhiyu Cong, Kaixiang Peng:
A Two-Layer Distributed Fault Diagnosis Method Based on Correlation Feature Transfer for Large-Scale Sequential Process Industries. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j77]Xinyu Guan, Yanyan Hu, Kaixiang Peng:
Stackelberg-Game-Based Sliding Mode Fault-Tolerant Secure Control for Cyber-Physical Systems Against Jamming Attacks and Multiple Physical Intermittent Faults. IEEE Trans. Netw. Sci. Eng. 11(5): 4344-4357 (2024) - [i2]En Fu, Yanyan Hu, Kaixiang Peng, Yuxin Chu:
Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction. CoRR abs/2401.16462 (2024) - [i1]Linlin Li, Steven X. Ding, Liutao Zhou, Maiying Zhong, Kaixiang Peng:
The system dynamics analysis, resilient and fault-tolerant control for cyber-physical systems. CoRR abs/2409.13370 (2024) - 2023
- [j76]Chuanfang Zhang, Kaixiang Peng, Jie Dong, Long Miao:
A comprehensive operating performance assessment framework based on distributed Siamese gated recurrent unit for hot strip mill process. Appl. Soft Comput. 132: 109889 (2023) - [j75]Jinghui Pan, Kaixiang Peng, Weicun Zhang:
From Nonlinear Dominant System to Linear Dominant System: Virtual Equivalent System Approach for Multiple Variable Self-Tuning Control System Analysis. Entropy 25(1): 173 (2023) - [j74]Ming Chen, Siyu An, Kaixiang Peng, Hongyan Sun:
Fixed-time bounded H infinity tracking control of a single-joint manipulator system with input saturation. Int. J. Control 96(9): 2303-2312 (2023) - [j73]Jinghui Pan, Lili Qu, Kaixiang Peng:
Research on robotic manipulator fault detection and diagnosis technology based on machine vision in complex environments. J. Field Robotics 40(2): 231-242 (2023) - [j72]Jinghui Pan, Lili Qu, Kaixiang Peng:
Corrigendum for "Research on robotic manipulator fault detection and diagnosis technology based on machine vision in complex environments". J. Field Robotics 40(5): 1323 (2023) - [j71]Ming Chen, Yingsen Li, Huanqing Wang, Kaixiang Peng, Libing Wu:
Adaptive Fixed-Time Tracking Control for Nonlinear Systems Based on Finite-Time Command-Filtered Backstepping. IEEE Trans. Fuzzy Syst. 31(5): 1604-1613 (2023) - [j70]Peng Tang, Kaixiang Peng, Zhiwen Chen, Jie Dong:
A Novel Distributed CVRAE-Based Spatio-Temporal Process Monitoring Method With Its Application. IEEE Trans. Ind. Informatics 19(11): 10987-10997 (2023) - [j69]Xuerui Cao, Kaixiang Peng:
Stochastic Uncertain Degradation Modeling and Remaining Useful Life Prediction Considering Aleatory and Epistemic Uncertainty. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j68]Jie Dong, Keren Cao, Kaixiang Peng:
Hierarchical Causal Graph-Based Fault Root Cause Diagnosis and Propagation Path Identification for Complex Industrial Process Monitoring. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j67]Liang Ma, Mengwei Wang, Kaixiang Peng:
Bidirectional Minimal Gated Unit-Based Nonlinear Dynamic Soft Sensor Modeling Framework for Quality Prediction in Process Industries. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [j66]Cuicui Zhang, Jie Dong, Hongjun Zhang, Kaixiang Peng:
Distributed Quality-Related Process Monitoring Framework Using Parallel DVIB-VAE-mRMR for Large-Scale Processes. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j65]Chuanfang Zhang, Kaixiang Peng, Jie Dong, Xueyi Zhang, Kaixuan Yang:
A Robust Fault Classification Method for Streaming Industrial Data Based on Wasserstein Generative Adversarial Network and Semi-Supervised Ladder Network. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [c18]Liang Ma, Fuzhong Shi, Zijing Wu, Kaixiang Peng:
A Survey of Few-shot Learning-based Compound Fault Diagnosis Methods for Industrial Processes. ICPS 2023: 1-4 - [c17]Chuanfang Zhang, Kaixiang Peng, Jie Dong, Liang Ma, Yangfan Wang, Dongjie Hua:
Exergy-related Operating Performance Assessment for Hot Rolling Process Based on Multiple imputation and Multi-class Support Vector Data Description. ICPS 2023: 1-6 - 2022
- [j64]Shu Liang, Peng Yi, Yiguang Hong, Kaixiang Peng:
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games. Auton. Intell. Syst. 2(1): 1-8 (2022) - [j63]Chuanfang Zhang, Kaixiang Peng, Jie Dong, Xueyi Zhang:
KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process. Expert Syst. Appl. 209: 118273 (2022) - [j62]Liang Ma, Mengwei Wang, Jie Dong, Kaixiang Peng:
A novel distributed detection framework for quality-related faults in industrial plant-wide processes. Neurocomputing 492: 126-136 (2022) - [j61]Hongjun Zhang, Chi Zhang, Jie Dong, Kaixiang Peng:
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. 53(16): 3538-3555 (2022) - [j60]Peng Tang, Kaixiang Peng, Ruihua Jiao:
A process monitoring and fault isolation framework based on variational autoencoders and branch and bound method. J. Frankl. Inst. 359(2): 1667-1691 (2022) - [j59]Liang Ma, Jie Dong, Kaixiang Peng:
A Novel Multilabel Classification Framework for Coupling Faults in Hot Rolling Processes. IEEE Trans. Control. Syst. Technol. 30(2): 877-884 (2022) - [j58]Shannan Luo, Kaixiang Peng, Changbin Hu, Steven X. Ding, Hui Fan:
A Residual-Generator-Based Plug-and-Play Control Scheme Toward Enhancing Power Quality in AC Microgrids. IEEE Trans. Ind. Electron. 69(8): 8146-8156 (2022) - [j57]Jie Dong, Lingzhi Jiang, Chi Zhang, Kaixiang Peng:
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. 71: 1-10 (2022) - [j56]Jie Dong, Yaqi Wang, Kaixiang Peng:
A Novel Fault Detection Method Based on the Extraction of Slow Features for Dynamic Nonstationary Processes. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j55]Liang Ma, Jie Dong, Kaixiang Peng:
A Practical Root Cause Diagnosis Framework for Quality-Related Faults in Manufacturing Processes With Irregular Sampling Measurements. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c16]Chuanfang Zhang, Kaixiang Peng, Jie Dong, Xueyi Zhang:
Distributed Operating Performance Assessment for Hot Strip Mill Process Based on Probabilistic Support Tensor Data Description with Feature Tensor. SMC 2022: 2479-2483 - 2021
- [j54]Jinghui Pan, Lili Qu, Kaixiang Peng:
Sensor and Actuator Fault Diagnosis for Robot Joint Based on Deep CNN. Entropy 23(6): 751 (2021) - [j53]Chuanfang Zhang, Kaixiang Peng, Jie Dong:
An extensible quality-related fault isolation framework based on dual broad partial least squares with application to the hot rolling process. Expert Syst. Appl. 167: 114166 (2021) - [j52]Ruihua Jiao, Kaixiang Peng, Jie Dong:
Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks. IEEE CAA J. Autom. Sinica 8(7): 1345-1354 (2021) - [j51]Liang Ma, Jie Dong, Changjun Hu, Kaixiang Peng:
A novel decentralized detection framework for quality-related faults in manufacturing industrial processes. Neurocomputing 428: 30-41 (2021) - [j50]Shuang Zhang, Rui Liu, Kaixiang Peng, Wei He:
Boundary Output Feedback Control for a Flexible Two-Link Manipulator System With High-Gain Observers. IEEE Trans. Control. Syst. Technol. 29(2): 835-840 (2021) - [j49]Jian Huang, Xu Yang, Kaixiang Peng:
Double-Layer Distributed Monitoring Based on Sequential Correlation Information for Large-Scale Industrial Processes in Dynamic and Static States. IEEE Trans. Ind. Informatics 17(9): 6419-6428 (2021) - [j48]Kai Zhang, Kaixiang Peng, Shanshan Zhao, Fan Wang:
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 17(9): 6466-6475 (2021) - [j47]Shuang Zhang, Pengxin Yang, Linghuan Kong, Wenshi Chen, Qiang Fu, Kaixiang Peng:
Neural Networks-Based Fault Tolerant Control of a Robot via Fast Terminal Sliding Mode. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4091-4101 (2021) - [c15]Jiapeng Cui, Kaixiang Peng, Pengxue Lang, Shuai Lu:
Fault Identification and Remaining Useful Life Prediction for Complex Equipment under Multiple Fault Modes. CAA SAFEPROCESS 2021: 1-6 - [c14]Yingxin Guo, Xueyi Zhang, Liang Ma, Kaixiang Peng:
A Novel Fault Assessment Method Integrating Global and Local Information for Industrial Processes. CAA SAFEPROCESS 2021: 1-6 - [c13]Pengxue Lang, Kaixiang Peng, Jiapeng Cui, Jie Yang, Yingxin Guo:
Data augmentation for fault prediction of aircraft engine with generative adversarial networks. CAA SAFEPROCESS 2021: 1-5 - [c12]Liang Ma, Xueyi Zhang, Kaixiang Peng, Jie Dong:
A Quality-related Fault Detection Method for Nonlinear Industrial Processes Based on Mixed Kernel Partial Least Squares. CAA SAFEPROCESS 2021: 1-5 - [c11]Qiang Wang, Kaixiang Peng, Xuerui Cao:
Review on Fault Diagnosis Techniques for Distributed Parameter Systems. CAA SAFEPROCESS 2021: 1-7 - [c10]Hongjun Zhang, Chuanfang Zhang, Kaixiang Peng, Jie Dong, Liang Ma, Xueyi Zhang:
Quality Anomaly Monitoring and Comprehensive Diagnosis Framework for Plant-wide Process Industries with Spatio-Temporal Coordination. CAA SAFEPROCESS 2021: 1-6 - [c9]Yinghao Zhao, Xu Yang, Xia Wu, Jian Huang, Kaixiang Peng:
Adaptive Weighting Strategy based Multi-sensor Data Fusion Method for Condition Monitoring of Reciprocating Pump. CAA SAFEPROCESS 2021: 1-6 - 2020
- [j46]Peng Tang, Kaixiang Peng, Jie Dong, Kai Zhang, Shanshan Zhao:
Monitoring of Nonlinear Processes With Multiple Operating Modes Through a Novel Gaussian Mixture Variational Autoencoder Model. IEEE Access 8: 114487-114500 (2020) - [j45]Jie Dong, Yingze Tian, Kaixiang Peng:
Just-in-Time Learning-Based Soft Sensor for Mechanical Properties of Strip Steel via Multi-Block Weighted Semisupervised Models. IEEE Access 8: 123869-123881 (2020) - [j44]Xu Yang, Jingjing Gao, Linlin Li, Hao Luo, Steven X. Ding, Kaixiang Peng:
Data-driven design of fault-tolerant control systems based on recursive stable image representation. Autom. 122: 109246 (2020) - [j43]Jie Dong, Chi Zhang, Kaixiang Peng:
A novel industrial process monitoring method based on improved local tangent space alignment algorithm. Neurocomputing 405: 114-125 (2020) - [j42]Hailong Tan, Bo Shen, Kaixiang Peng, Hongjian Liu:
Robust recursive filtering for uncertain stochastic systems with amplify-and-forward relays. Int. J. Syst. Sci. 51(7): 1188-1199 (2020) - [j41]Ruihua Jiao, Kaixiang Peng, Jie Dong, Chuanfang Zhang:
Fault monitoring and remaining useful life prediction framework for multiple fault modes in prognostics. Reliab. Eng. Syst. Saf. 203: 107028 (2020) - [j40]Liang Ma, Jie Dong, Kaixiang Peng:
A Novel Hierarchical Detection and Isolation Framework for Quality-Related Multiple Faults in Large-Scale Processes. IEEE Trans. Ind. Electron. 67(2): 1316-1327 (2020) - [j39]Kai Zhang, Kaixiang Peng, Steven X. Ding, Zhiwen Chen, Xu Yang:
A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process. IEEE Trans. Ind. Electron. 67(3): 2380-2390 (2020) - [j38]Liang Ma, Jie Dong, Kaixiang Peng:
A Novel Robust Semisupervised Classification Framework for Quality-Related Coupling Faults in Manufacturing Industries. IEEE Trans. Ind. Informatics 16(5): 2946-2955 (2020) - [j37]Linlin Li, Steven X. Ding, Hao Luo, Kaixiang Peng, Ying Yang:
Performance-Based Fault-Tolerant Control Approaches For Industrial Processes With Multiplicative Faults. IEEE Trans. Ind. Informatics 16(7): 4759-4768 (2020) - [j36]Ruihua Jiao, Kaixiang Peng, Jie Dong:
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter. IEEE Trans. Instrum. Meas. 69(11): 8831-8843 (2020)
2010 – 2019
- 2019
- [j35]Linlin Li, Steven X. Ding, Kaixiang Peng, Jianbin Qiu, Ying Yang:
Fuzzy Fault Detection Filter Design for Nonlinear Distributed Parameter Systems. IEEE Access 7: 11105-11113 (2019) - [j34]Kaixiang Peng, Zhihao Ren, Jie Dong, Liang Ma:
A New Hierarchical Framework for Detection and Isolation of Multiple Faults in Complex Industrial Processes. IEEE Access 7: 12006-12015 (2019) - [j33]Jie Dong, Ruiqi Sun, Kaixiang Peng, Zhijie Shi, Liang Ma:
Quality Monitoring and Root Cause Diagnosis for Industrial Processes Based on Lasso-SAE-CCA. IEEE Access 7: 90230-90242 (2019) - [j32]Linlin Li, Hao Luo, Steven X. Ding, Ying Yang, Kaixiang Peng:
Performance-based fault detection and fault-tolerant control for automatic control systems. Autom. 99: 308-316 (2019) - [j31]Ling Wang, Jianyao Meng, RuiXia Huang, Hui Zhu, Kaixiang Peng:
Incremental feature weighting for fuzzy feature selection. Fuzzy Sets Syst. 368: 1-19 (2019) - [j30]Chuanfang Zhang, Kaixiang Peng, Jie Dong:
A novel plant-wide process monitoring framework based on distributed Gap-SVDD with adaptive radius. Neurocomputing 350: 1-12 (2019) - [j29]Kaixiang Peng, Ruihua Jiao, Jie Dong, Yanting Pi:
A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter. Neurocomputing 361: 19-28 (2019) - [j28]Liang Ma, Jie Dong, Kaixiang Peng, Chuanfang Zhang:
Hierarchical Monitoring and Root-Cause Diagnosis Framework for Key Performance Indicator-Related Multiple Faults in Process Industries. IEEE Trans. Ind. Informatics 15(4): 2091-2100 (2019) - [c8]Tianjing Qi, Kai Zhang, Kaixiang Peng, Shanshan Zhao:
A Kernel Canonical Correlation Analysis-Based Fault Detection Method with Application to a Hot Tandem Rolling Mill Process. CAA SAFEPROCESS 2019: 333-338 - [c7]Ruihua Jiao, Kaixiang Peng, Kai Zhang, Liang Ma, Yanting Pi:
A Novel Scheme for Remaining Useful Life Prediction and Safety Assessment Based on Hybrid Method. CAA SAFEPROCESS 2019: 395-400 - 2018
- [j27]Jie Dong, Qiang Wang, Mengyuan Wang, Kaixiang Peng:
Data-Driven Quality Monitoring Techniques for Distributed Parameter Systems With Application to Hot-Rolled Strip Laminar Cooling Process. IEEE Access 6: 16646-16654 (2018) - [j26]Kai Zhang, Kaixiang Peng, Yuri A. W. Shardt:
A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches. IEEE Access 6: 43808-43823 (2018) - [j25]Ling Wang, Jianyao Meng, Peipei Xu, Kaixiang Peng:
Mining temporal association rules with frequent itemsets tree. Appl. Soft Comput. 62: 817-829 (2018) - [j24]Liang Ma, Jie Dong, Kaixiang Peng:
Root cause diagnosis of quality-related faults in industrial multimode processes using robust Gaussian mixture model and transfer entropy. Neurocomputing 285: 60-73 (2018) - [j23]Kai Zhang, Kaixiang Peng, Ruohui Chu, Jie Dong:
Implementing multivariate statistics-based process monitoring: A comparison of basic data modeling approaches. Neurocomputing 290: 172-184 (2018) - [j22]Liang Ma, Jie Dong, Kaixiang Peng:
A practical propagation path identification scheme for quality-related faults based on nonlinear dynamic latent variable model and partitioned Bayesian network. J. Frankl. Inst. 355(15): 7570-7594 (2018) - [j21]Yanyan Hu, Xiaoling Xue, Zengwang Jin, Kaixiang Peng:
Time-Varying Fault Diagnosis for Asynchronous Multisensor Systems Based on Augmented IMM and Strong Tracking Filtering. J. Control. Sci. Eng. 2018: 5205698:1-5205698:8 (2018) - [j20]Linlin Li, Steven X. Ding, Ying Yang, Kaixiang Peng, Jianbin Qiu:
A Fault Detection Approach for Nonlinear Systems Based on Data-Driven Realizations of Fuzzy Kernel Representations. IEEE Trans. Fuzzy Syst. 26(4): 1800-1812 (2018) - [j19]Kai Zhang, Kaixiang Peng, Jie Dong:
A Common and Individual Feature Extraction-Based Multimode Process Monitoring Method With Application to the Finishing Mill Process. IEEE Trans. Ind. Informatics 14(11): 4841-4850 (2018) - [j18]Shuang Zhang, Yiting Dong, Yuncheng Ouyang, Zhao Yin, Kaixiang Peng:
Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5554-5564 (2018) - 2017
- [j17]Jie Dong, Mengyuan Wang, Xiong Zhang, Liang Ma, Kaixiang Peng:
Joint Data-Driven Fault Diagnosis Integrating Causality Graph With Statistical Process Monitoring for Complex Industrial Processes. IEEE Access 5: 25217-25225 (2017) - [j16]Linlin Li, Steven X. Ding, Jianbin Qiu, Kaixiang Peng, Ying Yang:
An optimal fault detection approach for piecewise affine systems via diagnostic observers. Autom. 85: 256-263 (2017) - [j15]Kaixiang Peng, Mengyuan Wang, Jie Dong:
Event-triggered fault detection framework based on subspace identification method for the networked control systems. Neurocomputing 239: 257-267 (2017) - [j14]Kai Zhang, Steven X. Ding, Yuri A. W. Shardt, Zhiwen Chen, Kaixiang Peng:
Assessment of T2- and Q-statistics for detecting additive and multiplicative faults in multivariate statistical process monitoring. J. Frankl. Inst. 354(2): 668-688 (2017) - [j13]Kai Zhang, Jie Dong, Kaixiang Peng:
A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process. J. Frankl. Inst. 354(2): 702-721 (2017) - [j12]Yanyan Hu, Shuai Qi, Xiaoling Xue, Kaixiang Peng:
Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion. J. Control. Sci. Eng. 2017: 4139563:1-4139563:8 (2017) - [j11]Kaixiang Peng, Bingzheng Wang, Jie Dong:
An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process. J. Control. Sci. Eng. 2017: 9560206:1-9560206:13 (2017) - 2016
- [j10]Kaixiang Peng, Qianqian Li, Kai Zhang, Jie Dong:
Quality-related process monitoring for dynamic non-Gaussian batch process with multi-phase using a new data-driven method. Neurocomputing 214: 317-328 (2016) - [j9]Guang Wang, Hao Luo, Kaixiang Peng:
Quality-related fault detection using linear and nonlinear principal component regression. J. Frankl. Inst. 353(10): 2159-2177 (2016) - [j8]Ling Wang, Shu-Lin Li, Hua Sun, Kaixiang Peng:
A classification and regression algorithm based on quantitative association rule tree. J. Intell. Fuzzy Syst. 31(3): 1407-1418 (2016) - [j7]Xu Yang, Hao Luo, Minjia Krueger, Steven X. Ding, Kaixiang Peng:
Online Monitoring System Design for Roll Eccentricity in Rolling Mills. IEEE Trans. Ind. Electron. 63(4): 2559-2568 (2016) - [j6]Kaixiang Peng, Kai Zhang, Bo You, Jie Dong, Zidong Wang:
A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes. IEEE Trans. Ind. Electron. 63(4): 2615-2624 (2016) - [c6]Kai Zhang, Yuri A. W. Shardt, Zhiwen Chen, Steven X. Ding, Kaixiang Peng:
A brief survey of different statistics for detecting multiplicative faults in multivariate statistical process monitoring. CDC 2016: 2152-2157 - 2015
- [j5]Jie Dong, Kai Zhang, Ya Huang, Gang Li, Kaixiang Peng:
Adaptive total PLS based quality-relevant process monitoring with application to the Tennessee Eastman process. Neurocomputing 154: 77-85 (2015) - [j4]Kaixiang Peng, Kai Zhang, Bo You, Jie Dong:
Quality-related prediction and monitoring of multi-mode processes using multiple PLS with application to an industrial hot strip mill. Neurocomputing 168: 1094-1103 (2015) - [j3]Kaixiang Peng, Kai Zhang, Jie Dong, Bo You:
Quality-relevant fault detection and diagnosis for hot strip mill process with multi-specification and multi-batch measurements. J. Frankl. Inst. 352(3): 987-1006 (2015) - 2014
- [j2]Kaixiang Peng, Kai Zhang, Jie Dong, Xu Yang:
A new data-driven process monitoring scheme for key performance indictors with application to hot strip mill process. J. Frankl. Inst. 351(9): 4555-4569 (2014) - 2013
- [j1]Steven X. Ding, Shen Yin, Kaixiang Peng, Haiyang Hao, Bo Shen:
A Novel Scheme for Key Performance Indicator Prediction and Diagnosis With Application to an Industrial Hot Strip Mill. IEEE Trans. Ind. Informatics 9(4): 2239-2247 (2013) - 2012
- [c5]Shen Yin, Zuolong Wei, Huijun Gao, Kaixiang Peng:
Data-driven quality related prediction and monitoring. IECON 2012: 3874-3879 - 2010
- [c4]Jie Dong, Xueming Ma, Kaixiang Peng:
IVFH*: Real-time dynamic obstacle avoidance for mobile robots. ICARCV 2010: 844-847 - [c3]Kaixiang Peng, Jie Dong:
Robust coordinated control of hot strip mill multivariable system. ICARCV 2010: 2373-2378
2000 – 2009
- 2009
- [c2]Kaixiang Peng, Xuli Zhang:
Classification Technology for Automatic Surface Defects Detection of Steel Strip Based on Improved BP Algorithm. ICNC (1) 2009: 110-114 - 2005
- [c1]Zhenglin Wang, Yikang Sun, Kaixiang Peng:
Multi-resolution hardness feed-forward automatic gauge control for hot-rolling mill based on wavelets. ACC 2005: 4242-4246
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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