Weiguo Huang
Orcid: 0000-0002-6734-2019
According to our database1,
Weiguo Huang
authored at least 55 papers
between 2009 and 2024.
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Bibliography
2024
Cross Metaplectic Wigner Distribution: Definition, Properties, Relation to Short-Time Metaplectic Transform, and Uncertainty Principles.
IEEE Trans. Inf. Theory, May, 2024
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions.
IEEE Trans. Ind. Informatics, April, 2024
Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024
Sparse Optimization Model Based on Sparse Matrix and Singular Value Vector for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2024
Point Rail of High-Speed Railway Turnout Induced Feature Extraction Using Oscillatory Behavior-Based Signal Sparse Decomposition.
IEEE Trans. Instrum. Meas., 2024
Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition.
IEEE Trans. Instrum. Meas., 2024
Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis.
Reliab. Eng. Syst. Saf., 2024
Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples.
Knowl. Based Syst., 2024
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation.
Expert Syst. Appl., 2024
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments.
Adv. Eng. Informatics, 2024
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis.
Adv. Eng. Informatics, 2024
Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data.
Adv. Eng. Informatics, 2024
Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis.
Adv. Eng. Informatics, 2024
A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types.
Adv. Eng. Informatics, 2024
2023
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., December, 2023
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy.
Knowl. Based Syst., December, 2023
Assessment of Tool Wear With Insufficient and Unbalanced Data Using Improved Conditional Generative Adversarial Net and High-Quality Optimization Algorithm.
IEEE Trans. Ind. Electron., November, 2023
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis.
Eng. Appl. Artif. Intell., November, 2023
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions.
Reliab. Eng. Syst. Saf., October, 2023
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery.
Adv. Eng. Informatics, October, 2023
Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift.
IEEE Trans. Instrum. Meas., 2023
Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2023
Dual Contrastive Learning for Semi-Supervised Fault Diagnosis Under Extremely Low Label Rate.
IEEE Trans. Instrum. Meas., 2023
Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis.
Knowl. Based Syst., 2023
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis.
Eng. Appl. Artif. Intell., 2023
2022
Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax.
IEEE Trans. Intell. Transp. Syst., 2022
Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions.
IEEE Trans. Instrum. Meas., 2022
Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy.
Knowl. Based Syst., 2022
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022
2021
Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
2020
IEEE Trans. Instrum. Meas., 2020
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2020
2019
Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2019
Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds.
IEEE Access, 2019
Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019
2018
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis.
Neurocomputing, 2018
IET Image Process., 2018
Dense and Tight Detection of Chinese Characters in Historical Documents: Datasets and a Recognition Guided Detector.
IEEE Access, 2018
Feature enhancement via balanced non-convex regularization for rotary machine fault diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
2017
Transients Extraction Based on Averaged Random Orthogonal Matching Pursuit Algorithm for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2017
A Comprehensive Analysis of Misclassified Handwritten Chinese Character Samples by Incorporating Human Recognition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
2016
Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016
2015
IET Comput. Vis., 2015
2014
Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection.
Signal Process., 2014
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014
The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
Sparsity-enabled signal transient feature extraction using wavelet basis and constrained optimization algorithm.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014
2013
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
2010
Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection.
EURASIP J. Adv. Signal Process., 2010
2009