Jie Dong

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 50

Top Topics

Kernel Partial Least Squares

Tennessee Eastman

Gaussian Mixture

Fault Detection

Top Venues

IEEE Trans. Instrum. Meas.

J. Frankl. Inst.

Publications

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 (2024)
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) (2024)
Jie Dong, Ruitao Sun, Chi Zhang, Kaixiang Peng
Transferable Manifold Projection Embedded Dictionary Learning for Multimode Process Monitoring. IEEE Trans. Instrum. Meas. 73 (2024)
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 (2024)
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 (2023)
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) (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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) (2022)
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 (2022)
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 (2022)
Liang Ma, Mengwei Wang, Jie Dong, Kaixiang Peng
A novel distributed detection framework for quality-related faults in industrial plant-wide processes. Neurocomputing 492 (2022)
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 (2022)
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)
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 (2022)
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) (2022)
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)
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) (2021)
Liang Ma, Jie Dong, Changjun Hu, Kaixiang Peng
A novel decentralized detection framework for quality-related faults in manufacturing industrial processes. Neurocomputing 428 (2021)
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 (2021)
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)
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 (2020)
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) (2020)
Yongliang Yang, Sen Zhang, Jie Dong, Yixin Yin
Data-Driven Nonzero-Sum Game for Discrete-Time Systems Using Off-Policy Reinforcement Learning. IEEE Access 8 (2020)
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) (2020)
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) (2020)
Jie Dong, Chi Zhang, Kaixiang Peng
A novel industrial process monitoring method based on improved local tangent space alignment algorithm. Neurocomputing 405 (2020)
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 (2020)
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 (2020)
Yuling Li, Yixin Yin, Sen Zhang, Jie Dong, Rolf Johansson
Composite adaptive control for bilateral teleoperation systems without persistency of excitation. J. Frankl. Inst. 357 (2) (2020)
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 (2019)
Chuanfang Zhang, Kaixiang Peng, Jie Dong
A novel plant-wide process monitoring framework based on distributed Gap-SVDD with adaptive radius. Neurocomputing 350 (2019)
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) (2019)
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 (2019)
Jie Dong, Zhijie Shi, Ruiqi Sun
An Output Probabilistic Constrained Optimal Control Algorithm Based on Multivariable MAC and its Application in Looper Control System. IEEE Access 7 (2019)
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 (2019)
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) (2018)
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) (2018)
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 (2018)
Kai Zhang, Kaixiang Peng, Ruohui Chu, Jie Dong
Implementing multivariate statistics-based process monitoring: A comparison of basic data modeling approaches. Neurocomputing 290 (2018)
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 (2018)
Yuling Li, Yixin Yin, Sen Zhang, Jie Dong, Rolf Johansson
Composite Adaptive Control for Bilateral Teleoperation Systems without Persistency of Excitation. CoRR (2018)
Kaixiang Peng, Mengyuan Wang, Jie Dong
Event-triggered fault detection framework based on subspace identification method for the networked control systems. Neurocomputing 239 (2017)
Kaixiang Peng, Bingzheng Wang, Jie Dong
An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process. J. Control. Sci. Eng. 2017 (2017)
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 (2017)
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) (2017)
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) (2016)
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 (2016)
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) (2015)
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 (2015)
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 (2015)
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) (2014)
Kaixiang Peng, Jie Dong
Robust coordinated control of hot strip mill multivariable system. ICARCV (2010)
Jie Dong, Xueming Ma, Kaixiang Peng
: Real-time dynamic obstacle avoidance for mobile robots. ICARCV (2010)