Hao Luo

Orcid: 0000-0003-2143-2438

Affiliations:
  • Harbin Institute of Technology, School of Astronautics, Department of Control Science and Engineering, China
  • University of Duisburg-Essen, Institute for Automatic Control and Complex Systems, Duisburg, Germany (PhD 2016)


According to our database1, Hao Luo authored at least 117 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SIR-Aided Secure Transmission and Attack Detection for Security Management of Nonlinear Cyber-Physical System Using GRU Autoencoder.
IEEE Trans. Ind. Informatics, April, 2024

Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024

A novel data augmentation approach to fault diagnosis with class-imbalance problem.
Reliab. Eng. Syst. Saf., March, 2024

FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection.
Expert Syst. Appl., March, 2024

A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM.
IEEE Trans. Ind. Informatics, February, 2024

2023
Subspace Identification for Closed-Loop Systems With Unknown Deterministic Disturbances.
IEEE CAA J. Autom. Sinica, December, 2023

Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules.
BMC Medical Imaging, December, 2023

SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images.
Artif. Intell. Medicine, December, 2023

PKDN: Prior Knowledge Distillation Network for bronchoscopy diagnosis.
Comput. Biol. Medicine, November, 2023

Real-time notch filtering based on the modified subspace-based high-resolution frequency estimator.
Trans. Inst. Meas. Control, October, 2023

Data-driven designs of observers and controllers via solving model matching problems.
Autom., October, 2023

Subspace-Aided Sensor Fault Diagnosis and Compensation for Industrial Systems.
IEEE Trans. Ind. Electron., September, 2023

A Distributed Closed-Loop Monitoring Approach for Interconnected Industrial Systems.
IEEE Trans. Ind. Electron., July, 2023

An integrated multi-head dual sparse self-attention network for remaining useful life prediction.
Reliab. Eng. Syst. Saf., May, 2023

SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization.
IEEE Trans. Medical Imaging, 2023

A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics.
IEEE Trans. Instrum. Meas., 2023

A Novel Transfer Ensemble Learning Framework for Remaining Useful Life Prediction Under Multiple Working Conditions.
IEEE Trans. Instrum. Meas., 2023

A Residual-Driven Secure Transmission and Detection Approach Against Stealthy Cyber-Physical Attacks for Accident Prevention.
IEEE Trans. Inf. Forensics Secur., 2023

Guest Editorial: Special Issue on Artificial Intelligence Methods for Maintenance and Safety of Automation Systems.
IEEE Trans. Artif. Intell., 2023

A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition.
Reliab. Eng. Syst. Saf., 2023

Attack prevention and detection for cyber-physical systems based on coprime factorization technique.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

A Distributed Connectivity Optimization Method for Coverage Control of the Multi-agent System.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Distributed Fault Diagnosis Approach for Large-Scale Interconnected Systems with Communication Link Failures.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

Game-Based Adaptive Optimization Approach for Multi-Agent Systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

Time-Domain Frequency Estimation Approach for Intelligent Control Systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

Distributed Fault Tolerant Control for Multi-Agent Systems with Sensor Faults in Non-Cooperative Games.
Proceedings of the CAA Symposium on Fault Detection, 2023

Sensor fault detection under asynchronous switched systems with state delays.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Secure Data Transmission and Trustworthiness Judgement Approaches Against Cyber-Physical Attacks in an Integrated Data-Driven Framework.
IEEE Trans. Syst. Man Cybern. Syst., 2022

RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images.
IEEE Trans. Instrum. Meas., 2022

An Ensemble-Based Fuzzy Rough Active Learning Approach for Broken Rotor Bar Detection in Nonstationary Environment.
IEEE Trans. Instrum. Meas., 2022

Time-Domain Frequency Estimation With Application to Fault Diagnosis of the Unmanned Aerial Vehicles' Blade Damage.
IEEE Trans. Ind. Electron., 2022

A Novel Subspace-Aided Fault Detection Approach for the Drive Systems of Rolling Mills.
IEEE Trans. Control. Syst. Technol., 2022

Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach.
IEEE Trans. Artif. Intell., 2022

Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism.
Reliab. Eng. Syst. Saf., 2022

An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty.
Reliab. Eng. Syst. Saf., 2022

An integrated data-driven scheme for the defense of typical cyber-physical attacks.
Reliab. Eng. Syst. Saf., 2022

Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images.
Knowl. Based Syst., 2022

Quo vadis artificial intelligence?
Discov. Artif. Intell., 2022

Real-time H∞ norm optimization of the linear time-invariant system.
Autom., 2022

Lesion-attention pyramid network for diabetic retinopathy grading.
Artif. Intell. Medicine, 2022

Sensor Fault Detection, Isolation and Accommodation Based on the Stable Kernel Representation.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

Data-driven Adaptive Observer-based Predictive Control for an Inverter with Output LC Filter.
Proceedings of the IECON 2022, 2022

An improved multi-objective optimization algorithm for flexible job shop dynamic scheduling problem.
Proceedings of the IECON 2022, 2022

An Fault-tolerant Control Approach for Event-triggered Consensus of Multiple Robotic Manipulators with Switching Topologies.
Proceedings of the IECON 2022, 2022

Random Forest Regression for Battery State-of-Health Estimation Based on Unsupervised Transfer Component Analysis Domain Adaptation.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

Adaptive Frequency Estimator Based on the Observable Canonical Form.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

2021
Multiblock Dynamic Slow Feature Analysis-Based System Monitoring for Electrical Drives of High-Speed Trains.
IEEE Trans. Instrum. Meas., 2021

Integrated Learning Approach Based on Fused Segmentation Information for Skeletal Fluorosis Diagnosis and Severity Grading.
IEEE Trans. Ind. Informatics, 2021

Guest Editorial: Data-Driven Management of Complex Systems Through Plant-Wide Performance Supervision.
IEEE Trans. Ind. Informatics, 2021

Real-Time Implementation of Plug-and-Play Process Monitoring and Control on an Experimental Three-Tank System.
IEEE Trans. Ind. Informatics, 2021

A Real-Time Performance Recovery Framework for Vision-Based Control Systems.
IEEE Trans. Ind. Electron., 2021

A Novel Bias-Eliminated Subspace Identification Approach for Closed-Loop Systems.
IEEE Trans. Ind. Electron., 2021

Performance Degradation Monitoring and Recovery of Vision-Based Control Systems.
IEEE Trans. Control. Syst. Technol., 2021

An Improved Just-in-Time Learning Scheme for Online Fault Detection of Nonlinear Systems.
IEEE Syst. J., 2021

Adaptive SMO-Based Fault Estimation for Markov Jump Systems With Simultaneous Additive and Multiplicative Actuator Faults.
IEEE Syst. J., 2021

A Data-Driven Scheme for Fault Detection of Discrete-Time Switched Systems.
Sensors, 2021

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches.
Entropy, 2021

When medical images meet generative adversarial network: recent development and research opportunities.
Discov. Artif. Intell., 2021

Remaining useful life prediction approach for rolling element bearings based on optimized SVR model with reliable time intervals.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Data-Driven Process Monitoring Approach for Closed-Loop Cascade Systems.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

A lightweight defense scheme for industrial data transmission against eavesdropping attacks and integrity attacks.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Bearing remaining useful life prediction based on optimized support vector regression model with denoising technique.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Adaptive Boosting Based on Multi-class Neural Networks for IGBT Health Parameter Prediction.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

Recursive Subspace-aided Frequency Estimator Based on the Propagator Method.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

Data-driven SOC Estimation with Moving Window Adaptive Residual Generator for Li-ion Battery.
Proceedings of the CAA Symposium on Fault Detection, 2021

Deep learning-based defense and detection scheme against eavesdropping and typical cyber-physical attacks.
Proceedings of the CAA Symposium on Fault Detection, 2021

Robust fault detection approach for switched time-delay systems by using sliding mode observer.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
Data-Driven Incipient Fault Detection and Diagnosis for the Running Gear in High-Speed Trains.
IEEE Trans. Veh. Technol., 2020

Guest Editorial Special Issue on Fault Diagnosis and Adaptive Fault-Tolerant Control for Automatic Control Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Parity-based robust data-driven fault detection for nonlinear systems using just-in-time learning approach.
Trans. Inst. Meas. Control, 2020

Performance-Based Fault-Tolerant Control Approaches For Industrial Processes With Multiplicative Faults.
IEEE Trans. Ind. Informatics, 2020

A Data-Driven Realization of the Control-Performance-Oriented Process Monitoring System.
IEEE Trans. Ind. Electron., 2020

Subspace-Aided Closed-Loop System Identification With Application to DC Motor System.
IEEE Trans. Ind. Electron., 2020

A Robust Data-Driven Fault Detection Approach for Rolling Mills With Unknown Roll Eccentricity.
IEEE Trans. Control. Syst. Technol., 2020

A Novel Control-Performance-Oriented Data-Driven Fault Classification Approach.
IEEE Syst. J., 2020

State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System.
Sensors, 2020

Principal component analysis and belief-rule-base aided health monitoring method for running gears of high-speed train.
Sci. China Inf. Sci., 2020

Data-driven design of fault-tolerant control systems based on recursive stable image representation.
Autom., 2020

A Cross-block Connection Network for Retinal Vessel Segmentation.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

A Novel Multivariate Statistical Analysis Aided Deep Learning Approach for Nonlinear System Process Monitoring with Comparison Studies.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

A Data-Driven Fault Diagnosis Approach for Anemometers in Wind Farm.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Data-driven SOC Estimation with Adaptive Residual Generator for Li-ion Battery.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

A Data-driven Fault Prediction Integrated Design Scheme Based on Ensemble Learning for Thermal Boiler Process.
Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020

2019
Performance-based fault detection and fault-tolerant control for automatic control systems.
Autom., 2019

Health Status Prediction Based on Belief Rule Base for High-Speed Train Running Gear System.
IEEE Access, 2019

A Semi-Quantitative Information Based Fault Diagnosis Method for the Running Gears System of High-Speed Trains.
IEEE Access, 2019

A Study of PnP Process Monitoring Technique on Three-Tank System.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

MRAS-Based Sensorless Control of PMSM with BPN in Prediction Mode.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Plug-and-Play Process Control System Design for Three-tank System with Online Tracking Performance Optimization.
Proceedings of the IECON 2019, 2019

A Novel Data-Driven Fault Classification Method and its Application to DC Motor.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Improved Data-Driven SKRs Based Fault Detection for Closed-Loop Systems with Deterministic Disturbance.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

A Novel Redundant Information Elimination Aided Classification Approach for Cervical Cancer Diagnosis.
Proceedings of the CAA Symposium on Fault Detection, 2019

A Novel Recursive Data-Driven Realization of SIR in Closed-Loop System.
Proceedings of the CAA Symposium on Fault Detection, 2019

2018
Data-Driven Design of Fog-Computing-Aided Process Monitoring System for Large-Scale Industrial Processes.
IEEE Trans. Ind. Informatics, 2018

A Data-Driven Computation Method for the Gap Metric and the Optimal Stability Margin.
IEEE Trans. Autom. Control., 2018

A Data-Driven Fault Detection Approach for Dynamic Processes with Sinusoidal Disturbance.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Data-Driven Process Monitoring Approach for Dynamic Processes with Deterministic Disturbance.
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

A Data-Driven Method for SKR Identification and Application to Stability Margin Estimation.
Proceedings of the IECON 2018, 2018

Closed-Loop Identification of the Data-Driven SKR with Deterministic Disturbance for Fault Detection.
Proceedings of the IECON 2018, 2018

A Data-Driven Fault Detection Approach for Periodic Rectangular Wave Disturbance.
Proceedings of the IECON 2018, 2018

An Identification Approach for the Data-Driven SIR in the PnP Monitoring and Control Architecture.
Proceedings of the IECON 2018, 2018

A Time Domain Data-Driven Approach for the Estimation of Closed-Loop Stability Margin.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Real-Time Optimization of Automatic Control Systems With Application to BLDC Motor Test Rig.
IEEE Trans. Ind. Electron., 2017

An alternative data-driven fault detection scheme for dynamic processes with deterministic disturbances.
J. Frankl. Inst., 2017

Adaptive and iterative residual generator design for PnP process monitoring and control system.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Adaptive configuration technique for decentralized plug-and-play process monitoring system.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

2016
Online Monitoring System Design for Roll Eccentricity in Rolling Mills.
IEEE Trans. Ind. Electron., 2016

An Adaptive, Advanced Control Strategy for KPI-Based Optimization of Industrial Processes.
IEEE Trans. Ind. Electron., 2016

Quality-related fault detection using linear and nonlinear principal component regression.
J. Frankl. Inst., 2016

2015
Support vector regression based approach for key index forecasting with applications.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Study on kernel partial least squares based key indicator prediction.
Proceedings of the IECON 2015, 2015

2014
Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization.
IEEE Trans. Ind. Electron., 2014

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring.
IEEE Trans. Ind. Electron., 2014

A data-driven fault detection approach for static processes with deterministic disturbances.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

A data-based performance management framework for large-scale industrial processes.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Data-driven design of KPI-related fault-tolerant control system for wind turbines.
Proceedings of the American Control Conference, 2013


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