Chunhui Zhao
Orcid: 0000-0002-0254-5763Affiliations:
- Zhejiang University, College of Control Science and Engineering, Hangzhou, China
According to our database1,
Chunhui Zhao
authored at least 96 papers
between 2009 and 2024.
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Bibliography
2024
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Prototype-oriented contrastive learning for semi-supervised medical image segmentation.
Biomed. Signal Process. Control., February, 2024
Vertices Packaging-Based Interval Independent Component Analysis (VP-I<sup>2</sup>CA) for Fault Detection With Process Uncertainty.
IEEE Trans. Ind. Informatics, January, 2024
Variational Bayesian Student's-t Mixture Model With Closed-Form Missing Value Imputation for Robust Process Monitoring of Low-Quality Data.
IEEE Trans. Cybern., January, 2024
Full Decoupling High-Order Dynamic Mode Decomposition for Advanced Static and Dynamic Synergetic Fault Detection and Isolation.
IEEE Trans Autom. Sci. Eng., January, 2024
Multi-scale self-supervised representation learning with temporal alignment for multi-rate time series modeling.
Pattern Recognit., January, 2024
Multimodal Decoupled Representation With Compatibility Learning for Explicit Nonstationary Process Monitoring.
IEEE Trans. Ind. Electron., 2024
Less but Better: Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics.
CoRR, 2024
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis.
CoRR, 2024
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Pyramid-type zero-shot learning model with multi-granularity hierarchical attributes for industrial fault diagnosis.
Reliab. Eng. Syst. Saf., December, 2023
Interval-Aware Probabilistic Slow Feature Analysis for Irregular Dynamic Process Monitoring With Missing Data.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
A Flexible Probabilistic Framework With Concurrent Analysis of Continuous and Categorical Data for Industrial Fault Detection and Diagnosis.
IEEE Trans. Ind. Informatics, October, 2023
Dynamic Graph-Based Adaptive Learning for Online Industrial Soft Sensor With Mutable Spatial Coupling Relations.
IEEE Trans. Ind. Electron., September, 2023
Step-wise segment partition based stationary subspace analysis and Gaussian mixture model for nonstationary process performance assessment.
Inf. Sci., August, 2023
Federated Zero-Shot Industrial Fault Diagnosis With Cloud-Shared Semantic Knowledge Base.
IEEE Internet Things J., July, 2023
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults.
Neural Networks, April, 2023
Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing.
IEEE Trans. Instrum. Meas., 2023
A Robust Dissimilarity Distribution Analytics With Laplace Distribution for Incipient Fault Detection.
IEEE Trans. Ind. Electron., 2023
Multiscale Partial Symbolic Transfer Entropy for Time-Delay Root Cause Diagnosis in Nonstationary Industrial Processes.
IEEE Trans. Ind. Electron., 2023
Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring.
IEEE Trans. Cybern., 2023
Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis.
CoRR, 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios.
CoRR, 2023
2022
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Image Process., 2022
Robust Control Performance Monitoring for Varying-Dimensional Time-Series Data Based on SCADA Systems.
IEEE Trans. Instrum. Meas., 2022
Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults.
IEEE Trans. Instrum. Meas., 2022
Consistent-Contrastive Network With Temporality-Awareness for Robust-to-Anomaly Industrial Soft Sensor.
IEEE Trans. Instrum. Meas., 2022
MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes.
IEEE Trans. Cybern., 2022
Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes.
IEEE Trans. Cybern., 2022
Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies.
IEEE Trans. Cybern., 2022
FIGAN: A Missing Industrial Data Imputation Method Customized for Soft Sensor Application.
IEEE Trans Autom. Sci. Eng., 2022
Fault-Prototypical Adapted Network for Cross-Domain Industrial Intelligent Diagnosis.
IEEE Trans Autom. Sci. Eng., 2022
SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring.
Neurocomputing, 2022
Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring.
Comput. Chem. Eng., 2022
2021
Dual Attention-Based Encoder-Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Multichannel Diffusion Graph Convolutional Network for the Prediction of Endpoint Composition in the Converter Steelmaking Process.
IEEE Trans. Instrum. Meas., 2021
Low-Rank Characteristic and Temporal Correlation Analytics for Incipient Industrial Fault Detection With Missing Data.
IEEE Trans. Ind. Informatics, 2021
Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2021
Exponential Stationary Subspace Analysis for Stationary Feature Analytics and Adaptive Nonstationary Process Monitoring.
IEEE Trans. Ind. Informatics, 2021
Fine-Scale Modeling and Monitoring of Wide-Range Nonstationary Batch Processes With Dynamic Analytics.
IEEE Trans. Ind. Electron., 2021
Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications.
IEEE Trans. Ind. Electron., 2021
Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring.
IEEE Trans. Control. Syst. Technol., 2021
Condition-Driven Data Analytics and Monitoring for Wide-Range Nonstationary and Transient Continuous Processes.
IEEE Trans Autom. Sci. Eng., 2021
Non-stationary data reorganization for weighted wind turbine icing monitoring with Gaussian mixture model.
Comput. Chem. Eng., 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Concurrent Assessment of Process Operating Performance With Joint Static and Dynamic Analysis.
IEEE Trans. Ind. Informatics, 2020
Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification.
IEEE Trans. Ind. Informatics, 2020
Probabilistic Monitoring of Correlated Sensors for Nonlinear Processes in State Space.
IEEE Trans. Ind. Electron., 2020
Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability.
IEEE Trans. Ind. Electron., 2020
Total Variable Decomposition Based on Sparse Cointegration Analysis for Distributed Monitoring of Nonstationary Industrial Processes.
IEEE Trans. Control. Syst. Technol., 2020
Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net.
IEEE Trans. Control. Syst. Technol., 2020
A Gaussian Feature Analytics-Based DISSIM Method for Fine-Grained Non-Gaussian Process Monitoring.
IEEE Trans Autom. Sci. Eng., 2020
Fault Diagnosis With Dual Cointegration Analysis of Common and Specific Nonstationary Fault Variations.
IEEE Trans Autom. Sci. Eng., 2020
A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis.
IEEE Trans Autom. Sci. Eng., 2020
BNGBS: An efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes.
Neurocomputing, 2020
Variants of slow feature analysis framework for automatic detection and isolation of multiple oscillations in coupled control loops.
Comput. Chem. Eng., 2020
Fault detection for Nonstationary Process with Decomposition and Analytics of Gaussian and Non-Gaussian Subspaces.
Proceedings of the 16th International Conference on Control, 2020
Sparse Causal Residual Neural Network for Linear and Nonlinear Concurrent Causal Inference and Root Cause Diagnosis.
Proceedings of the 16th International Conference on Control, 2020
2019
Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses.
IEEE Trans. Ind. Informatics, 2019
Recursive Exponential Slow Feature Analysis for Fine-Scale Adaptive Processes Monitoring With Comprehensive Operation Status Identification.
IEEE Trans. Ind. Informatics, 2019
Dynamic Distributed Monitoring Strategy for Large-Scale Nonstationary Processes Subject to Frequently Varying Conditions Under Closed-Loop Control.
IEEE Trans. Ind. Electron., 2019
Slow-Feature-Analysis-Based Batch Process Monitoring With Comprehensive Interpretation of Operation Condition Deviation and Dynamic Anomaly.
IEEE Trans. Ind. Electron., 2019
IEEE Trans. Control. Syst. Technol., 2019
Online Fault Diagnosis in Industrial Processes Using Multimodel Exponential Discriminant Analysis Algorithm.
IEEE Trans. Control. Syst. Technol., 2019
Online Fault Diagnosis for Industrial Processes With Bayesian Network-Based Probabilistic Ensemble Learning Strategy.
IEEE Trans Autom. Sci. Eng., 2019
Concurrent analysis of variable correlation and data distribution for monitoring large-scale processes under varying operation conditions.
Neurocomputing, 2019
Fault Diagnosis Based on EEMD and Key Feature Representation with Separation of Stationary and Nonstationary Signals.
Proceedings of the CAA Symposium on Fault Detection, 2019
Process Monitoring under Closed-loop Control with Performance-relevant Full Decomposition of Slow Feature Analysis.
Proceedings of the 12th Asian Control Conference, 2019
Online fault prognostics based on degradation-oriented slow feature analysis and temporal smoothness analysis.
Proceedings of the 12th Asian Control Conference, 2019
Nonstationary Fault Diagnosis by Dual Analysis of Common and Specific Fault Variations with Cointegration Analysis.
Proceedings of the 2019 American Control Conference, 2019
2018
IEEE Trans. Ind. Electron., 2018
Linearity Evaluation and Variable Subset Partition Based Hierarchical Process Modeling and Monitoring.
IEEE Trans. Ind. Electron., 2018
J. Control. Sci. Eng., 2018
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control.
CoRR, 2018
An automatic glucose monitoring signal denoising method with noise level estimation and responsive filter updating.
Biomed. Signal Process. Control., 2018
An Intelligent Human Activity Recognition Method with Incremental Learning Capability for Bedridden Patients.
Proceedings of the 15th International Conference on Control, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Machine learning application for patients activity recognition with pressure sensing in bed.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018
2017
Critical-to-Fault-Degradation Variable Analysis and Direction Extraction for Online Fault Prognostic.
IEEE Trans. Control. Syst. Technol., 2017
Two-level modeling strategy based incipient fault detection for nonstationary industrial processes.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
A multi-model exponential discriminant analysis algorithm for online probabilistic diagnosis of time-varying faults.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
Predicting glucose concentration for hyper/hypoglycemia alert: Multiple order model migration and optimal model selection via analysis of sample size.
Proceedings of the 2017 American Control Conference, 2017
Sparse dissimilarity analysis based on distribution dissimilarity decomposition for online diagnosis of incipient faults.
Proceedings of the 2017 American Control Conference, 2017
2016
Fault Subspace Selection Approach Combined With Analysis of Relative Changes for Reconstruction Modeling and Multifault Diagnosis.
IEEE Trans. Control. Syst. Technol., 2016
Proceedings of the 2016 American Control Conference, 2016
2015
A variant fisher discriminant analysis algorithm and its applicationto fault diagnosis.
Proceedings of the 10th Asian Control Conference, 2015
2014
Multispace Total Projection to Latent Structures and its Application to Online Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2014
2013
Inner-phase-evolution-traced statistical modeling and online monitoring for uneven batch processes.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
The multi-space generalization of total projection to latent structures (MsT-PLS) and its application to online process monitoring.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
A sub-principal component of fault detection (PCFD) modeling method and its application to online fault diagnosis.
Proceedings of the 9th Asian Control Conference, 2013
2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Identification of low-order process model with time delay from closed-loop step test.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009