Weihua Li
Orcid: 0000-0002-7493-1399Affiliations:
- South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
- Huazhong University of Science and Technology, Wuhan, China (former)
According to our database1,
Weihua Li
authored at least 85 papers
between 2005 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Matching Pursuit Network: An Interpretable Sparse Time-Frequency Representation Method Toward Mechanical Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., July, 2025
IEEE Robotics Autom. Lett., May, 2025
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery.
J. Intell. Manuf., April, 2025
Mechanism-Informed Neural Network: An Interpretable Method for Gearbox Impulsive Fault Feature Extraction.
IEEE Internet Things J., April, 2025
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles.
J. Intell. Manuf., March, 2025
Natural Modal Sketching Network: An Interpretable Approach for Bearing Impulsive Feature Extraction.
IEEE Trans. Cybern., February, 2025
FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models.
CoRR, February, 2025
IEEE Trans. Netw. Sci. Eng., 2025
Universal Source-Free Knowledge Transfer Network for Fault Diagnosis of Electromechanical System With Multimodal Signals.
IEEE Trans. Instrum. Meas., 2025
MTSNN: A Few-Shot Fine-Grained Diagnosis Framework for Cross-Machine Fault Diagnosis With Heterogeneous Fault Categories.
IEEE Trans. Instrum. Meas., 2025
Contrastive Learning-Based Feature-Consistency Distillation Network for Weak Fault Diagnosis of Harmonic Drive.
IEEE Trans. Instrum. Meas., 2025
Cross-modality domain adaptation for mechanical anomaly detection: A von mises-fisher VAE with enhanced interpretability.
Expert Syst. Appl., 2025
MDAE-GraphSage Network-based Intelligent Fault Diagnosis for Harmonic Drive under Multiple Unknown Working Conditions.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025
2024
Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios.
IEEE Internet Things J., July, 2024
A novel weakly supervised adversarial network for thermal error modeling of electric spindles with scarce samples.
Expert Syst. Appl., March, 2024
Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples.
Reliab. Eng. Syst. Saf., 2024
IEEE Multim., 2024
A robust and real-time lane detection method in low-light scenarios to advanced driver assistance systems.
Expert Syst. Appl., 2024
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery.
Expert Syst. Appl., 2024
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery.
Eng. Appl. Artif. Intell., 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models.
CoRR, 2024
Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation.
Adv. Eng. Informatics, 2024
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery.
IEEE Access, 2024
Fault Prior-guided White-box Model towards Interpretable Discriminant Feature Extraction.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Source-free Open-set Domain Adaptation Network for Emerging Fault Diagnosis of Planetary Gearbox.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
An Interpretable Fault Diagnosis Framework based on Capsule Network with Statistical Features.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Multi-Scale Dilated Convolutional Auto-Encoder Network for Weak Feature Extraction and Health Condition Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
VICooper: A Practical Vehicle-Infrastructure Cooperative Perception Framework for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024
RP3D: A Roadside Perception Framework for 3D Object Detection via Multi-view Sensor Fusion.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024
2023
A novel digital twin-driven approach based on physical-virtual data fusion for gearbox fault diagnosis.
Reliab. Eng. Syst. Saf., December, 2023
Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices.
Sensors, September, 2023
On the Connectivity Maximization in NOMA-Aided Industrial IoT With Multiple Services.
IEEE Internet Things J., September, 2023
Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network.
Adv. Eng. Informatics, August, 2023
Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression.
Reliab. Eng. Syst. Saf., June, 2023
A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery.
IEEE Trans. Cybern., March, 2023
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions.
Adv. Eng. Informatics, January, 2023
Industrial Edge Intelligence: Federated-Meta Learning Framework for Few-Shot Fault Diagnosis.
IEEE Trans. Netw. Sci. Eng., 2023
Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
A Novel Optimization Demodulation Method for Gear Fault Vibration Overmodulation Signal and Its Application to Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
CapsFormer: A Novel Bearing Intelligent Fault Diagnosis Framework With Negligible Speed Change Under Small-Sample Conditions.
IEEE Trans. Instrum. Meas., 2023
WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Gradient flow-based meta generative adversarial network for data augmentation in fault diagnosis.
Appl. Soft Comput., 2023
V2X-Based Cooperative Positioning for Connected Vehicles in GNSS- Denied Environments.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Resource-Efficient Network for Intelligent Fault Diagnosis Using Tree-Structured Parzen Estimator.
Proceedings of the 7th International Conference on System Reliability and Safety, 2023
Gradient-Based Interpretable Graph Convolutional Network for Bearing Fault Diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023
2022
A Novel Strategy for Global Lane Detection Based on Key-Point Regression and Multi-Scale Feature Fusion.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Instrum. Meas., 2022
Deep Self-Supervised Domain Adaptation Network for Fault Diagnosis of Rotating Machine With Unlabeled Data.
IEEE Trans. Instrum. Meas., 2022
Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2022
Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging.
IEEE Trans. Instrum. Meas., 2022
IEEE Instrum. Meas. Mag., 2022
Intelligent Cross-domain Fault Diagnosis For Rotating Machinery Using Multiscale Adversarial Convolutional Neural Network.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022
2021
Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task.
IEEE Trans. Instrum. Meas., 2021
Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery.
IEEE Trans. Ind. Informatics, 2021
IEEE Multim., 2021
A Global-Local Dynamic Adversarial Network for Intelligent Fault Diagnosis of Spindle Bearing.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
2020
Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed.
IEEE Trans. Instrum. Meas., 2020
Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data.
IEEE Trans. Instrum. Meas., 2020
Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Ind. Informatics, 2020
Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network.
IEEE Trans. Ind. Informatics, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
Generalized Gaussian Noise Distribution Enabled Sparse Representation Model for Bearing Fault Diagnosis.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
Bearing performance degradation assessment using long short-term memory recurrent network.
Comput. Ind., 2019
Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis.
IEEE Access, 2019
An Intelligent Compound Fault Diagnosis Method Using One-Dimensional Deep Convolutional Neural Network With Multi-Label Classifier.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Regrouping particle swarm optimization based variable neural network for gearbox fault diagnosis.
J. Intell. Fuzzy Syst., 2018
Electric vehicle battery temperature measuring method based on magnetic nanoparticles.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
2017
Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network.
IEEE Trans. Instrum. Meas., 2017
2016
Feature Denoising and Nearest-Farthest Distance Preserving Projection for Machine Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2016
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016
2015
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015
2013
Semisupervised Distance-Preserving Self-Organizing Map for Machine-Defect Detection and Classification.
IEEE Trans. Instrum. Meas., 2013
Envelope analysis by wavelet-filter based spectral kurtosis for bearing health monitoring.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013
2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005