Weihua Li

Orcid: 0000-0002-7493-1399

Affiliations:
  • 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 54 papers between 2005 and 2024.

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

Timeline

Legend:

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Bibliography

2024
A Time-Series Data-Driven Method for Milling Force Prediction of Robotic Machining.
IEEE Trans. Instrum. Meas., 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

A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis.
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 25th 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

A Reweighted Overlapping Group Shrinkage Method for Bearing Fault Diagnosis.
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

IMS Technical Committee TC-3: Condition Monitoring and Fault Diagnosis Instrument.
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

Adaptive Robust Noise Modeling of Sparse Representation for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery.
IEEE Trans. Ind. Informatics, 2021

Feature-Guided Spatial Attention Upsampling for Real-Time Stereo Matching Network.
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

A Robust Weight-Shared Capsule Network for Intelligent Machinery Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2020

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network.
IEEE Trans. Ind. Informatics, 2020

A Transferable Capsule Network for Decoupling Compound Fault of Machinery.
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 Learning With Emerging New Labels for Fault Diagnosis.
IEEE Access, 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

Machine fault classification using deep belief network.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

2015
Bearing fault classification using firefly clustering.
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
Gear Crack Detection Using Kernel Function Approximation.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Feature Selection and Classification of Gear Faults Using SOM.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005


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