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Chunhui Zhao 0001
Person information
- affiliation: Zhejiang University, College of Control Science and Engineering, Hangzhou, China
Other persons with the same name
- Chunhui Zhao — disambiguation page
- Chunhui Zhao 0002 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Chunhui Zhao 0003
— Harbin Engineering University, College of Information and Communication Engineering, Harbin, China
- Chunhui Zhao 0004
- Chunhui Zhao 0005
- Chunhui Zhao 0006
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2020 – today
- 2024
- [j87]Jie Wang, Xu Chen, Jiaqi Yue, Chunhui Zhao
Statelets extraction-guided contrastive learning for detection of control performance degradation with varying degrees. Adv. Eng. Informatics 61: 102470 (2024) - [j86]Zihang Liu, Haoran Zhang
Prototype-oriented contrastive learning for semi-supervised medical image segmentation. Biomed. Signal Process. Control. 88(Part A): 105571 (2024) - [j85]Baoxue Li, Pengyu Song, Chunhui Zhao
Fusing consensus knowledge: A federated learning method for fault diagnosis via privacy-preserving reference under domain shift. Inf. Fusion 106: 102290 (2024) - [j84]Baoxue Li, Pengyu Song, Chunhui Zhao
Facing spatiotemporal heterogeneity: A unified federated continual learning framework with self-challenge rehearsal for industrial monitoring tasks. Knowl. Based Syst. 289: 111491 (2024) - [j83]Jiaye Wang, Pengyu Song
Towards consensual representation: Model-agnostic knowledge extraction for dual heterogeneous federated fault diagnosis. Neural Networks 179: 106618 (2024) - [j82]Jiawei Chen
Multi-scale self-supervised representation learning with temporal alignment for multi-rate time series modeling. Pattern Recognit. 145: 109943 (2024) - [j81]Xu Chen
Full Decoupling High-Order Dynamic Mode Decomposition for Advanced Static and Dynamic Synergetic Fault Detection and Isolation. IEEE Trans Autom. Sci. Eng. 21(1): 226-240 (2024) - [j80]Chang Tian
Structure Feature Extraction for Hierarchical Alarm Flood Classification and Alarm Prediction. IEEE Trans Autom. Sci. Eng. 21(3): 3944-3954 (2024) - [j79]Haoran Zhang
Constrained Reinforcement Learning-Based Closed-Loop Reference Model for Optimal Tracking Control of Unknown Continuous-Time Systems. IEEE Trans Autom. Sci. Eng. 21(4): 7312-7324 (2024) - [j78]Wanke Yu
An Unsupervised Fault Detection and Diagnosis With Distribution Dissimilarity and Lasso Penalty. IEEE Trans. Control. Syst. Technol. 32(3): 767-779 (2024) - [j77]Songchun Zhang, Chunhui Zhao
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4568-4580 (2024) - [j76]Qingyang Dai
Variational Bayesian Student's-t Mixture Model With Closed-Form Missing Value Imputation for Robust Process Monitoring of Low-Quality Data. IEEE Trans. Cybern. 54(1): 373-386 (2024) - [j75]Tongkang Zhang, Jinliang Ding
iHPPPVis: Interactive Visual Analytics Approach for Production Performance Monitoring of Heavy-Plate Production Process. IEEE Trans. Cybern. 54(7): 3864-3877 (2024) - [j74]Xu Chen
From Coarse to Fine: Hierarchical Zero-Shot Fault Diagnosis With Multigrained Attributes. IEEE Trans. Fuzzy Syst. 32(5): 2837-2849 (2024) - [j73]Pengyu Song
Multimodal Decoupled Representation With Compatibility Learning for Explicit Nonstationary Process Monitoring. IEEE Trans. Ind. Electron. 71(7): 8121-8131 (2024) - [j72]Xu Chen
Input-Output Directed Dependency: Driving-Disentangled Dynamic Mode Decomposition for Control System Representation Learning and Monitoring. IEEE Trans. Ind. Electron. 71(10): 13428-13438 (2024) - [j71]Wanke Yu
Intrinsic Causality Embedded Concurrent Quality and Process Monitoring Strategy. IEEE Trans. Ind. Electron. 71(11): 15111-15121 (2024) - [j70]Shumei Zhang
Vertices Packaging-Based Interval Independent Component Analysis (VP-I2CA) for Fault Detection With Process Uncertainty. IEEE Trans. Ind. Informatics 20(1): 919-930 (2024) - [j69]Jiaqi Yue
Similarity Makes Difference: SSHTN for Generalized Zero-Shot Industrial Fault Diagnosis by Leveraging Auxiliary Set. IEEE Trans. Ind. Informatics 20(5): 7598-7607 (2024) - [j68]Jiancheng Zhao
Make Gating Fairer: Fault Attribute-Driven Bias Calibration for Generalized Zero-Shot Industrial Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j67]Pengyu Song
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2997-3011 (2024) - [j66]Pengyu Song
Slow Down to Go Better: A Survey on Slow Feature Analysis. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3416-3436 (2024) - [c28]Kun Zhu, Chunhui Zhao:
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series. AAAI 2024: 17167-17174 - [i8]Jiancheng Zhao, Jiaqi Yue, Chunhui Zhao:
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis. CoRR abs/2403.13845 (2024) - [i7]Jiaqi Yue, Jiancheng Zhao, Chunhui Zhao:
Less but Better: Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics. CoRR abs/2403.14362 (2024) - 2023
- [j65]Baoxue Li
Federated Zero-Shot Industrial Fault Diagnosis With Cloud-Shared Semantic Knowledge Base. IEEE Internet Things J. 10(13): 11619-11630 (2023) - [j64]Xiaoyu Zou, Chunhui Zhao
Step-wise segment partition based stationary subspace analysis and Gaussian mixture model for nonstationary process performance assessment. Inf. Sci. 639: 118988 (2023) - [j63]Pengyu Song, Chunhui Zhao
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. Neural Networks 161: 397-417 (2023) - [j62]Xu Chen, Chunhui Zhao
Pyramid-type zero-shot learning model with multi-granularity hierarchical attributes for industrial fault diagnosis. Reliab. Eng. Syst. Saf. 240: 109591 (2023) - [j61]Qingyang Dai
Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring. IEEE Trans. Cybern. 53(8): 5094-5107 (2023) - [j60]Shuyu Duan
Multiscale Partial Symbolic Transfer Entropy for Time-Delay Root Cause Diagnosis in Nonstationary Industrial Processes. IEEE Trans. Ind. Electron. 70(2): 2015-2025 (2023) - [j59]Kun Zhu
Dynamic Graph-Based Adaptive Learning for Online Industrial Soft Sensor With Mutable Spatial Coupling Relations. IEEE Trans. Ind. Electron. 70(9): 9614-9622 (2023) - [j58]Wanke Yu
A Robust Dissimilarity Distribution Analytics With Laplace Distribution for Incipient Fault Detection. IEEE Trans. Ind. Electron. 70(12): 12752-12761 (2023) - [j57]Junhao Chen
A Flexible Probabilistic Framework With Concurrent Analysis of Continuous and Categorical Data for Industrial Fault Detection and Diagnosis. IEEE Trans. Ind. Informatics 19(10): 10578-10590 (2023) - [j56]Jiawei Chen
Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j55]Jiale Zheng, Xu Chen
Interval-Aware Probabilistic Slow Feature Analysis for Irregular Dynamic Process Monitoring With Missing Data. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6553-6564 (2023) - [c27]Yingnan Wang, Xin Wang, Yinglong Wang, Xianmin Li, Chunhui Zhao
Multimode DALSTM model for anomaly detection of nuclear reactor core. ICPS 2023: 1-6 - [i6]Songchun Zhang, Chunhui Zhao:
Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes. CoRR abs/2301.05871 (2023) - [i5]Liangjun Feng, Jiancheng Zhao, Chunhui Zhao
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios. CoRR abs/2302.04060 (2023) - [i4]Jiancheng Zhao, Jiaqi Yue, Liangjun Feng, Chunhui Zhao, Jinliang Ding:
Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis. CoRR abs/2306.02359 (2023) - [i3]Songchun Zhang, Chunhui Zhao
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization. CoRR abs/2308.12609 (2023) - 2022
- [j54]Jiale Zheng, Chunhui Zhao
Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring. Comput. Chem. Eng. 157: 107587 (2022) - [j53]Pengyu Song, Chunhui Zhao
SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring. Neurocomputing 488: 359-380 (2022) - [j52]Zihang Liu, Chunhui Zhao
Multi-scale graph learning for ovarian tumor segmentation from CT images. Neurocomputing 512: 398-407 (2022) - [j51]Zheng Chai
Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis. IEEE Trans Autom. Sci. Eng. 19(4): 3649-3658 (2022) - [j50]Zoujing Yao, Chunhui Zhao
FIGAN: A Missing Industrial Data Imputation Method Customized for Soft Sensor Application. IEEE Trans Autom. Sci. Eng. 19(4): 3712-3722 (2022) - [j49]Wanke Yu
MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes. IEEE Trans. Cybern. 52(8): 8340-8351 (2022) - [j48]Zheng Chai
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies. IEEE Trans. Cybern. 52(9): 9784-9796 (2022) - [j47]Zheng Chai
Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes. IEEE Trans. Cybern. 52(12): 12882-12892 (2022) - [j46]Shuchao Chang
Consistent-Contrastive Network With Temporality-Awareness for Robust-to-Anomaly Industrial Soft Sensor. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j45]Pengyu Song
Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j44]Jie Wang
Robust Control Performance Monitoring for Varying-Dimensional Time-Series Data Based on SCADA Systems. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [j43]Liangjun Feng
Bias-Eliminated Semantic Refinement for Any-Shot Learning. IEEE Trans. Image Process. 31: 2229-2244 (2022) - [j42]Zheng Chai
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7598-7609 (2022) - [c26]Wenhao Zhou, Yingxuan Li, Chunhui Zhao
Object-Guided and Motion-Refined Attention Network for Video Anomaly Detection. ICME 2022: 1-6 - [i2]Liangjun Feng, Chunhui Zhao, Xi Li:
Bias-Eliminated Semantic Refinement for Any-Shot Learning. CoRR abs/2202.04827 (2022) - 2021
- [j41]Hua Jing
Non-stationary data reorganization for weighted wind turbine icing monitoring with Gaussian mixture model. Comput. Chem. Eng. 147: 107241 (2021) - [j40]Chunhui Zhao
Condition-Driven Data Analytics and Monitoring for Wide-Range Nonstationary and Transient Continuous Processes. IEEE Trans Autom. Sci. Eng. 18(4): 1563-1574 (2021) - [j39]Wanke Yu
Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring. IEEE Trans. Control. Syst. Technol. 29(1): 444-453 (2021) - [j38]Chunhui Zhao
Fine-Scale Modeling and Monitoring of Wide-Range Nonstationary Batch Processes With Dynamic Analytics. IEEE Trans. Ind. Electron. 68(9): 8808-8818 (2021) - [j37]Shunyi Zhao
Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications. IEEE Trans. Ind. Electron. 68(9): 8853-8862 (2021) - [j36]Liangjun Feng
Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis. IEEE Trans. Ind. Informatics 17(3): 1852-1862 (2021) - [j35]Wanke Yu
Low-Rank Characteristic and Temporal Correlation Analytics for Incipient Industrial Fault Detection With Missing Data. IEEE Trans. Ind. Informatics 17(9): 6337-6346 (2021) - [j34]Junhao Chen
Exponential Stationary Subspace Analysis for Stationary Feature Analytics and Adaptive Nonstationary Process Monitoring. IEEE Trans. Ind. Informatics 17(12): 8345-8356 (2021) - [j33]Liangjun Feng
Multichannel Diffusion Graph Convolutional Network for the Prediction of Endpoint Composition in the Converter Steelmaking Process. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j32]Liangjun Feng
Transfer Increment for Generalized Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2506-2520 (2021) - [j31]Liangjun Feng
Dual Attention-Based Encoder-Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3306-3317 (2021) - 2020
- [j30]Jie Wang
Variants of slow feature analysis framework for automatic detection and isolation of multiple oscillations in coupled control loops. Comput. Chem. Eng. 141: 107029 (2020) - [j29]Liangjun Feng, Chunhui Zhao
BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes. Neurocomputing 412: 486-501 (2020) - [j28]Yunyun Hu
Fault Diagnosis With Dual Cointegration Analysis of Common and Specific Nonstationary Fault Variations. IEEE Trans Autom. Sci. Eng. 17(1): 237-247 (2020) - [j27]Zheng Chai
A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis. IEEE Trans Autom. Sci. Eng. 17(3): 1432-1442 (2020) - [j26]Jie Wang
A Gaussian Feature Analytics-Based DISSIM Method for Fine-Grained Non-Gaussian Process Monitoring. IEEE Trans Autom. Sci. Eng. 17(4): 2175-2181 (2020) - [j25]Wanke Yu
Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net. IEEE Trans. Control. Syst. Technol. 28(3): 1083-1091 (2020) - [j24]Chunhui Zhao
Total Variable Decomposition Based on Sparse Cointegration Analysis for Distributed Monitoring of Nonstationary Industrial Processes. IEEE Trans. Control. Syst. Technol. 28(4): 1542-1549 (2020) - [j23]Shunyi Zhao
Probabilistic Monitoring of Correlated Sensors for Nonlinear Processes in State Space. IEEE Trans. Ind. Electron. 67(3): 2294-2303 (2020) - [j22]Wanke Yu
Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability. IEEE Trans. Ind. Electron. 67(6): 5081-5091 (2020) - [j21]Zheng Chai
Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification. IEEE Trans. Ind. Informatics 16(1): 54-66 (2020) - [j20]Xiaoyu Zou, Chunhui Zhao
Concurrent Assessment of Process Operating Performance With Joint Static and Dynamic Analysis. IEEE Trans. Ind. Informatics 16(4): 2776-2786 (2020) - [j19]Zheng Chai
Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5192-5203 (2020) - [c25]Yi Zhao, Chunhui Zhao
Fault detection for Nonstationary Process with Decomposition and Analytics of Gaussian and Non-Gaussian Subspaces. ICARCV 2020: 642-647 - [c24]Zihang Liu, Chunhui Zhao
A residual network for de novo peptide sequencing with attention mechanism. ICARCV 2020: 1165-1170 - [c23]Jiawei Chen, Chunhui Zhao
Sparse Causal Residual Neural Network for Linear and Nonlinear Concurrent Causal Inference and Root Cause Diagnosis. ICARCV 2020: 1182-1187
2010 – 2019
- 2019
- [j18]Shumei Zhang, Chunhui Zhao
Concurrent analysis of variable correlation and data distribution for monitoring large-scale processes under varying operation conditions. Neurocomputing 349: 225-238 (2019) - [j17]Wanke Yu
Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy. IEEE Trans Autom. Sci. Eng. 16(4): 1922-1932 (2019) - [j16]Shumei Zhang
Incipient Fault Detection for Multiphase Batch Processes With Limited Batches. IEEE Trans. Control. Syst. Technol. 27(1): 103-117 (2019) - [j15]Wanke Yu
Online Fault Diagnosis in Industrial Processes Using Multimodel Exponential Discriminant Analysis Algorithm. IEEE Trans. Control. Syst. Technol. 27(3): 1317-1325 (2019) - [j14]Shumei Zhang
Slow-Feature-Analysis-Based Batch Process Monitoring With Comprehensive Interpretation of Operation Condition Deviation and Dynamic Anomaly. IEEE Trans. Ind. Electron. 66(5): 3773-3783 (2019) - [j13]Chunhui Zhao
Dynamic Distributed Monitoring Strategy for Large-Scale Nonstationary Processes Subject to Frequently Varying Conditions Under Closed-Loop Control. IEEE Trans. Ind. Electron. 66(6): 4749-4758 (2019) - [j12]Wanke Yu
Recursive Exponential Slow Feature Analysis for Fine-Scale Adaptive Processes Monitoring With Comprehensive Operation Status Identification. IEEE Trans. Ind. Informatics 15(6): 3311-3323 (2019) - [j11]Shumei Zhang
Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses. IEEE Trans. Ind. Informatics 15(9): 5320-5329 (2019) - [c22]Yunyun Hu, Chunhui Zhao
Nonstationary Fault Diagnosis by Dual Analysis of Common and Specific Fault Variations with Cointegration Analysis. ACC 2019: 5065-5070 - [c21]Yunyun Hu, Chunhui Zhao:
Online fault prognostics based on degradation-oriented slow feature analysis and temporal smoothness analysis. ASCC 2019: 844-849 - [c20]Jiale Zheng, Chunhui Zhao:
Process Monitoring under Closed-loop Control with Performance-relevant Full Decomposition of Slow Feature Analysis. ASCC 2019: 1672-1677 - [c19]Feng Tian, Chunhui Zhao
Fault Diagnosis Based on EEMD and Key Feature Representation with Separation of Stationary and Nonstationary Signals. CAA SAFEPROCESS 2019: 29-34 - 2018
- [j10]Hong Zhao, Chunhui Zhao
An automatic glucose monitoring signal denoising method with noise level estimation and responsive filter updating. Biomed. Signal Process. Control. 41: 172-185 (2018) - [j9]Chunhui Zhao
Fault Detection, Isolation, and Prognosis for Complex System. J. Control. Sci. Eng. 2018: 8783158:1-8783158:2 (2018) - [j8]Wenqing Li
Linearity Evaluation and Variable Subset Partition Based Hierarchical Process Modeling and Monitoring. IEEE Trans. Ind. Electron. 65(3): 2683-2692 (2018) - [j7]Wanke Yu
Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis. IEEE Trans. Ind. Electron. 65(7): 5931-5940 (2018) - [c18]Shengwei Luo, Chunhui Zhao
Machine learning application for patients activity recognition with pressure sensing in bed. CF 2018: 348-354 - [c17]Limin Lu, Chunhui Zhao
A Data-Driven Human Activity Classification Method for an Intelligent Hospital Bed. EMBC 2018: 4991-4996 - [c16]Shengwei Luo, Chunhui Zhao
An Intelligent Human Activity Recognition Method with Incremental Learning Capability for Bedridden Patients. ICARCV 2018: 1284-1289 - [i1]Wenqing Li, Chunhui Zhao, Biao Huang:
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control. CoRR abs/1809.03343 (2018) - 2017
- [j6]Chunhui Zhao
Critical-to-Fault-Degradation Variable Analysis and Direction Extraction for Online Fault Prognostic. IEEE Trans. Control. Syst. Technol. 25(3): 842-854 (2017) - [c15]Chunhui Zhao
Predicting glucose concentration for hyper/hypoglycemia alert: Multiple order model migration and optimal model selection via analysis of sample size. ACC 2017: 1468-1473 - [c14]Chunhui Zhao
Sparse dissimilarity analysis based on distribution dissimilarity decomposition for online diagnosis of incipient faults. ACC 2017: 5430-5435 - [c13]Hong Zhao, Chunhui Zhao
Probabilistic abnormal glycemic event alert for T1DM patients. CASE 2017: 795-800 - [c12]Wanke Yu, Chunhui Zhao
A multi-model exponential discriminant analysis algorithm for online probabilistic diagnosis of time-varying faults. CDC 2017: 5751-5756 - [c11]Shumei Zhang, Chunhui Zhao
Two-level modeling strategy based incipient fault detection for nonstationary industrial processes. CDC 2017: 5764-5769 - 2016
- [j5]Wei Zhang, Chunhui Zhao
An extended inner-outer factorisation algorithm based on the structure of a transfer function matrix inverse. Int. J. Syst. Sci. 47(7): 1624-1635 (2016) - [j4]Chunhui Zhao
Fault Subspace Selection Approach Combined With Analysis of Relative Changes for Reconstruction Modeling and Multifault Diagnosis. IEEE Trans. Control. Syst. Technol. 24(3): 928-939 (2016) - [c10]Chunhui Zhao
Faulty variable selection based fault reconstruction for industrial processes. ACC 2016: 6845-6850 - 2015
- [j3]Chunhui Zhao
Rapid Model Identification for Online Subcutaneous Glucose Concentration Prediction for New Subjects With Type I Diabetes. IEEE Trans. Biomed. Eng. 62(5): 1333-1344 (2015) - [c9]Wei Wang, Chunhui Zhao
A variant fisher discriminant analysis algorithm and its applicationto fault diagnosis. ASCC 2015: 1-6 - 2014
- [j2]Chunhui Zhao
A Quality-Relevant Sequential Phase Partition Approach for Regression Modeling and Quality Prediction Analysis in Manufacturing Processes. IEEE Trans Autom. Sci. Eng. 11(4): 983-991 (2014) - [j1]Chunhui Zhao
Multispace Total Projection to Latent Structures and its Application to Online Process Monitoring. IEEE Trans. Control. Syst. Technol. 22(3): 868-883 (2014) - [c8]Chengxia Yu, Chunhui Zhao
Fault diagnosis based on concurrent phase partition and analysis of relative changes with limited fault batches. ACC 2014: 3035-3040 - [c7]Chunhui Zhao
Relative sub-PCA modeling algorithm using iterative within-phase relative analysis for multiphase batch process monitoring. ECC 2014: 1262-1267 - 2013
- [c6]Chunhui Zhao
A sub-principal component of fault detection (PCFD) modeling method and its application to online fault diagnosis. ASCC 2013: 1-6 - [c5]Luping Zhao, Chunhui Zhao
Inner-phase-evolution-traced statistical modeling and online monitoring for uneven batch processes. ICCA 2013: 294-299 - [c4]Chunhui Zhao
The multi-space generalization of total projection to latent structures (MsT-PLS) and its application to online process monitoring. ICCA 2013: 1441-1446
2000 – 2009
- 2009
- [c3]Chunhui Zhao
Improved independent component regression modeling. CDC 2009: 1507-1512 - [c2]Tao Liu
Identification of low-order process model with time delay from closed-loop step test. CDC 2009: 2587-2591 - 2008
- [c1]Chunhui Zhao
Investigation of nonlinear orthogonal signal correction algorithm and its effects on multivariate calibration. ICARCV 2008: 2049-2054
Coauthor Index
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