Jian Huang
Orcid: 0000-0002-3783-2682Affiliations:
- University of Science and Technology Beijing, School of Automation and Electrical Engineering, Key Laboratory of Knowledge Automation for Industrial Processes, Beijing, China
According to our database1,
Jian Huang
authored at least 19 papers
between 2019 and 2025.
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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
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
Optimized Distributed Nonstationary Process Monitoring Approach Based on Fault-Related Information and Partial Correlation Fusion.
IEEE Trans. Instrum. Meas., 2024
2023
Admissibility and admissibilization for T-S fuzzy descriptor systems with partially unknown membership functions.
Int. J. Syst. Sci., 2023
T-distributed stochastic neighbor embedding echo state network with state matrix dimensionality reduction for time series prediction.
Eng. Appl. Artif. Intell., 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
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
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