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ORCIDJie Dong 0004
Person information
- affiliation (PhD 2007): University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
Other persons with the same name
- Jie Dong — disambiguation page
- Jie Dong 0001 — InterDigital Communications, San Diego, CA, USA (and 2 more)
- Jie Dong 0002 — National ICT Australia, Canberra, ACT, Australia
- Jie Dong 0003
![[0000-0001-8916-3292]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8916-3292")
— Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China - Jie Dong 0005 — Technical University of Munich, Institute for Measurement Systems and Sensor Technology, Germany
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2020 – today
- 2024
[j49]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)- [j48]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) - [j47]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) - 2023
- [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [c7]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
- [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [c6]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
- [j34]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) - [j33]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) - [j32]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) - [c5]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 - [c4]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 - 2020
- [j31]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: 14074-14088 (2020) - [j30]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) - [j29]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) - [j28]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) - [j27]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): 773-795 (2020) - [j26]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) - [j25]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) - [j24]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) - [j23]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
- [j22]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) - [j21]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: 72885-72895 (2019) - [j20]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) - [j19]Yuling Li, Chang Li, Jie Dong, Jing Li, Yixin Yin:
Composite Adaptive Control of Teleoperators With Joint Flexibility, Uncertain Parameters, and Time-Delays. IEEE Access 7: 115673-115681 (2019) - [j18]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) - [j17]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) - [j16]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) - 2018
- [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [i1]Yuling Li, Yixin Yin, Sen Zhang, Jie Dong, Rolf Johansson:
Composite Adaptive Control for Bilateral Teleoperation Systems without Persistency of Excitation. CoRR abs/1804.06586 (2018) - 2017
- [j10]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) - [j9]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) - [j8]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) - [j7]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
- [j6]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) - [j5]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) - 2015
- [j4]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) - [j3]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) - [j2]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
- [j1]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) - 2012
- [c3]Jie Dong, Xuemei Jia, Xu Zhang:
Artificial Neural Network Based Control Strategy Research and Simulation on Robot Uncalibrated Visual Servoing System. IScIDE 2012: 817-824 - 2010
- [c2]Jie Dong, Xueming Ma, Kaixiang Peng:
IVFH*: Real-time dynamic obstacle avoidance for mobile robots. ICARCV 2010: 844-847 - [c1]Kaixiang Peng, Jie Dong:
Robust coordinated control of hot strip mill multivariable system. ICARCV 2010: 2373-2378
Coauthor Index
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