Xu Yang
Orcid: 0000-0001-9919-1801Affiliations:
- University of Science and Technology, School of Automation and Electrical Engineering, Beijing, China
- University of Alberta, Department of Chemical and Materials Engineering, Edmonton, AB, Canada (former)
- University of Duisburg-Essen, Institute for Automatic Control and Complex Systems, Germany (2013 - 2014)
- University of Science and Technology, School of Automation and Electrical Engineering, Beijing, China (PhD 2011)
According to our database1,
Xu Yang
authored at least 34 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
t-SNVAE: Deep Probabilistic Learning With Local and Global Structures for Industrial Process Monitoring.
IEEE Trans. Artif. Intell., June, 2025
Variational Discriminative Stacked Auto-Encoder: Feature Representation Using a Prelearned Discriminator, and Its Application to Industrial Process Monitoring.
IEEE Trans. Neural Networks Learn. Syst., May, 2025
An improved multi-objective honey badger algorithm based on global searching strategy.
J. Supercomput., May, 2025
Ensemble Targeted Stacked Denoising Autoencoders With Mutual Information Constraint for Rotating Machinery Fault Diagnosis.
IEEE Trans. Ind. Informatics, February, 2025
Improved Wavelet Zero-Shot Learning Model With Signal-Sensitive Features and Weighted Semantics for Compound Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas., 2025
Hidden Actuator Degradation Prognosis Considering Unmodeled Dynamic by Neural Network-Assisted Adaptive Kalman Filter.
IEEE Trans. Instrum. Meas., 2025
Graph-based predictable deep transfer network for soft sensing of dynamic industrial processes.
Knowl. Based Syst., 2025
Remaining useful life prediction for multi-sensor mechanical equipment based on self-attention mechanism network incorporating spatio-temporal convolution.
J. Syst. Control. Eng., 2025
Distributed subspace identification for data-driven fault detection and fault-tolerant control of complex interconnected, industrial systems.
J. Frankl. Inst., 2025
Performance-oriented fault detection and fault-tolerant control for nonlinear uncertain systems: Improved stochastic configuration network-based methods.
Neurocomputing, 2025
2024
Adaptive weighting strategy for fault detection and diagnosis of rotating machinery components incorporating multiple operational conditions.
Trans. Inst. Meas. Control, 2024
An integrated structure of operational performance-oriented monitoring and degradation recovery based on iterative adaptive dynamic programming.
Trans. Inst. Meas. Control, 2024
IEEE Trans. Instrum. Meas., 2024
Optimized Distributed Nonstationary Process Monitoring Approach Based on Fault-Related Information and Partial Correlation Fusion.
IEEE Trans. Instrum. Meas., 2024
2023
T-distributed stochastic neighbor embedding echo state network with state matrix dimensionality reduction for time series prediction.
Eng. Appl. Artif. Intell., 2023
A LADRC-based Control Strategy with Performance Guarantee for On-board SC ESS of Urban Rail Traction.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
2021
Double-Layer Distributed Monitoring Based on Sequential Correlation Information for Large-Scale Industrial Processes in Dynamic and Static States.
IEEE Trans. Ind. Informatics, 2021
Data-driven design of fault detection and isolation method for distributed homogeneous systems.
J. Frankl. Inst., 2021
Mean-Square Admissibility Analysis and Controller Design for Itô-Type Stochastic Singular Systems.
IEEE Access, 2021
Adaptive Weighting Strategy based Multi-sensor Data Fusion Method for Condition Monitoring of Reciprocating Pump.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process.
IEEE Trans. Ind. Electron., 2020
A KPI-Based Soft Sensor Development Approach Incorporating Infrequent, Variable Time Delayed Measurements.
IEEE Trans. Control. Syst. Technol., 2020
Data-driven design of fault-tolerant control systems based on recursive stable image representation.
Autom., 2020
Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis.
IEEE Access, 2020
2019
A distributed expectation maximization-principal component analysis monitoring scheme for the large-scale industrial process with incomplete information.
Int. J. Distributed Sens. Networks, 2019
A comparison of OCMPM and OCSVM in motor and sensor fault detection for traction control system.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
A KPI-Based Probabilistic Soft Sensor Development Approach that Maximizes the Coefficient of Determination.
Sensors, 2018
Simultaneous Robust, Decoupled Output Feedback Control for Multivariate Industrial Systems.
IEEE Access, 2018
2017
Real-Time Optimization of Automatic Control Systems With Application to BLDC Motor Test Rig.
IEEE Trans. Ind. Electron., 2017
Parameter Identification and Control Scheme for Monitoring Automatic Thickness Control System with Measurement Delay.
J. Control. Sci. Eng., 2017
2016
IEEE Trans. Ind. Electron., 2016
2014
A new data-driven process monitoring scheme for key performance indictors with application to hot strip mill process.
J. Frankl. Inst., 2014
2013
Proceedings of the Intelligence Science and Big Data Engineering, 2013