Weihua Li

发表

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

K. Gryllias, Ruqiang Yan, Weihua Li, 2022, Mechanical Systems and Signal Processing.

A Two-Stage Transfer Adversarial Network for Intelligent Fault Diagnosis of Rotating Machinery With Multiple New Faults

Jipu Li, Ruyi Huang, Guolin He, 2021, IEEE/ASME Transactions on Mechatronics.

Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability

P. Gardoni, Weihua Li, Zhixiong Li, 2022, Sensors.

Clustering Federated Learning for Bearing Fault Diagnosis in Aerospace Applications with a Self-Attention Mechanism

Weihua Li, Ruyi Huang, Jipu Li, 2022, Aerospace.

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network

Konstantinos Gryllias, Zhuyun Chen, Weihua Li, 2020, IEEE Transactions on Industrial Informatics.

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

Konstantinos Gryllias, Weihua Li, Zhuyun Chen, 2019, Mechanical Systems and Signal Processing.

A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery

Weihua Li, Ruyi Huang, Jipu Li, 2022, IEEE Transactions on Cybernetics.

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

Qiang Miao, Weihua Li, Chuan Li, 2019, Energy.

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

Konstantinos Gryllias, Zhuyun Chen, Weihua Li, 2020 .

Bearing performance degradation assessment using long short-term memory recurrent network

Bin Zhang, Weihua Li, Shaohui Zhang, 2019, Comput. Ind..

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery

Jipu Li, Guolin He, Konstantinos Gryllias, 2020, IEEE Transactions on Instrumentation and Measurement.

State-of-charge estimation of lithium-ion batteries using LSTM and UKF

Weihua Li, Fangfang Yang, Shaohui Zhang, 2020, Energy.

Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task

Jipu Li, Ruyi Huang, Junbin Chen, 2021, IEEE Transactions on Instrumentation and Measurement.

Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network

Weihua Li, Zhuyun Chen, Weihua Li, 2017, IEEE Transactions on Instrumentation and Measurement.

Fault diagnosis using rough sets and BP networks

Wei Pan, Weihua Li, Shenggang Zhang, 2010, 2010 International Conference on Mechanic Automation and Control Engineering.

Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed

Jipu Li, Zhuyun Chen, Yixiao Liao, 2020, IEEE Transactions on Instrumentation and Measurement.

Federated Learning for Bearing Fault Diagnosis with Dynamic Weighted Averaging

Weihua Li, Ruyi Huang, Jipu Li, 2021, 2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Federated Transfer Learning for Bearing Fault Diagnosis Based on Averaging Shared Layers

Weihua Li, Yixiao Liao, Zhuyun Chen, 2021, 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing).

Source-free Partial Domain Adaptation in Rotating Machinery Fault Diagnosis using Deep Hypothesis Domain Adaptation Network

Weihua Li, Ruyi Huang, Jipu Li, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

LaneTD: Lane Feature Aggregator Based on Transformer and Dilated Convolution

Weihua Li, Zhijian Yang, Ziyi Chen, 2023, IEEE Sensors Journal.

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

Weihua Li, Yun Xie, Shaowu Zheng, 2021, IEEE MultiMedia.

Deep Self-Supervised Domain Adaptation Network for Fault Diagnosis of Rotating Machine with Unlabeled Data

Weihua Li, Ruyi Huang, Jipu Li, 2022, IEEE Transactions on Instrumentation and Measurement.

A Robust Strategy for Roadside Cooperative Perception Based on Multi-Sensor Fusion

Weihua Li, Ruyi Huang, Ming Ye, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Unsupervised Continual Source-Free Network for Fault Diagnosis of Machines Under Multiple Diagnostic Domains

K. Gryllias, Weihua Li, Ruyi Huang, 2023, IEEE Sensors Journal.

Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions

K. Gryllias, Weihua Li, Ruyi Huang, 2023, Adv. Eng. Informatics.

Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression

Weihua Li, Ruyi Huang, Zhuyun Chen, 2023, Reliab. Eng. Syst. Saf..

Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective

Weihua Li, Ruyi Huang, Zhuyun Chen, 2023, Mechanical Systems and Signal Processing.

Intelligent Fault Diagnosis for Bearing Dataset Using Adversarial Transfer Learning based on Stacked Auto-Encoder

Jipu Li, Ruyi Huang, Weihua Li, 2020 .

Feature Denoising and Nearest–Farthest Distance Preserving Projection for Machine Fault Diagnosis

Weihua Li, Subhash Rakheja, Shaohui Zhang, 2016, IEEE Transactions on Industrial Informatics.

Enhanced generative adversarial network for extremely imbalanced fault diagnosis of rotating machine

Weihua Li, Rugen Wang, Shaohui Zhang, 2021 .

A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery

Guolin He, Weihua Li, Zhuyun Chen, 2021, IEEE Transactions on Industrial Informatics.

Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Weihua Li, Ruyi Huang, Jipu Li, 2021 .

A Deep Adversarial Transfer Learning Network for Machinery Emerging Fault Detection

Jipu Li, Ruyi Huang, Guolin He, 2020, IEEE Sensors Journal.

CapsNet-Enabled Multimodal Data Fusion: A Case Study in RUL Estimation of Turbofan Engine

Weihua Li, Ruyi Huang, Zhuyun Chen, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data

Jipu Li, Weihua Li, Ruyi Huang, 2020, IEEE Transactions on Instrumentation and Measurement.

Regrouping particle swarm optimization based variable neural network for gearbox fault diagnosis

Lei Zhang, Weihua Li, Yixiao Liao, 2018, Journal of Intelligent & Fuzzy Systems.

Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis

Ruyi Huang, Weihua Li, Yixiao Liao, 2019, IEEE Access.

Semisupervised Distance-Preserving Self-Organizing Map for Machine-Defect Detection and Classification

Guolin He, Weihua Li, Shaohui Zhang, 2013, IEEE Transactions on Instrumentation and Measurement.

Feature extraction and classification of gear faults using principal component analysis

Weihua Li, Shuzi Yang, Tielin Shi, 2003 .

A Transferable Capsule Network for Decoupling Compound Fault of Machinery

Jipu Li, Ruyi Huang, Junbin Chen, 2020, 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

Gearbox fault classification using S-transform and convolutional neural network

Weihua Li, Yixiao Liao, Xueqiong Zeng, 2016, 2016 10th International Conference on Sensing Technology (ICST).

Deep Learning With Emerging New Labels for Fault Diagnosis

Weihua Li, Man Wang, Jiesi Luo, 2019, IEEE Access.

Machine fault classification using deep belief network

Zhuyun Chen, Weihua Li, Guanglan Liao, 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network

Weihua Li, Ruyi Huang, Jipu Li, 2023, Advanced Engineering Informatics.

Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis

Ruyi Huang, Weihua Li, Junbin Chen, 2021, IEEE Transactions on Instrumentation and Measurement.

Dual-Attention Generative Adversarial Networks for Fault Diagnosis Under the Class-Imbalanced Conditions

Weihua Li, Zhuyun Chen, Rugen Wang, 2022, IEEE Sensors Journal.

Deep‐learning‐based guided wave detection for liquid‐level state in porcelain bushing type terminal

Bin Zhang, Weihua Li, Xiaobin Hong, 2020, Structural Control and Health Monitoring.

Bearing degradation assessment based on weibull distribution and deep belief network

Shibin Wang, Xuefeng Chen, Weihua Li, 2016, 2016 International Symposium on Flexible Automation (ISFA).

A Robust Weight-Shared Capsule Network for Intelligent Machinery Fault Diagnosis

Jipu Li, Ruyi Huang, Shuhua Wang, 2020, IEEE Transactions on Industrial Informatics.

Manifold Sparse Auto-Encoder for Machine Fault Diagnosis

Fangfang Yang, Shaohui Zhang, Man Wang, 2020, IEEE Sensors Journal.

Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines

Konstantinos Gryllias, Weihua Li, Zhuyun Chen, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Multi-label fault diagnosis based on Convolutional Neural Network and Cyclic Spectral Coherence

Weihua Li, Konstantinos Gryllias, Zhuyun Chen, 2019 .

Adaptive Robust Noise Modeling of Sparse Representation for Bearing Fault Diagnosis

Shibin Wang, Xuefeng Chen, Ruqiang Yan, 2021, IEEE Transactions on Instrumentation and Measurement.

Deep Feature-aligned Convolutional Neural Network for Machinery Fault Diagnosis

Ruyi Huang, Junbin Chen, Longcan Liu, 2020, 2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis

Weihua Li, Ruyi Huang, Jipu Li, 2023, IEEE Transactions on Instrumentation and Measurement.

A Global-Local Dynamic Adversarial Network for Intelligent Fault Diagnosis of Spindle Bearing

Jipu Li, Ruyi Huang, Weihua Li, 2021, 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators

K. Gryllias, Weihua Li, Yixiao Liao, 2022, IET Collaborative Intelligent Manufacturing.

Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging

Weihua Li, Ruyi Huang, Jipu Li, 2022, IEEE Transactions on Instrumentation and Measurement.

Simultaneous fault type and severity identification using a two-branch domain adaptation network

Jipu Li, Ruyi Huang, Weihua Li, 2021 .

Compound Fault Diagnosis for Rotating Machinery: State-of-the-Art, Challenges, and Opportunities

Weihua Li, Ruyi Huang, Zhuyun Chen, 2023, Journal of Dynamics, Monitoring and Diagnostics.

Dynamic modeling of Gearbox Based on Virtual-physical Interaction

Weihua Li, Ruyi Huang, Yixiao Liao, 2021, 2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking

Weihua Li, Ruyi Huang, Junbin Chen, 2023, IEEE Transactions on Instrumentation and Measurement.

Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Weihua Li, Ruyi Huang, Jipu Li, 2021, Chinese Journal of Mechanical Engineering.

Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions

Weihua Li, Ruyi Huang, Jipu Li, 2023, IEEE Sensors Journal.

A novel digital twin-driven approach based on physical-virtual data fusion for gearbox fault diagnosis

Weihua Li, Ruyi Huang, Zhuyun Chen, 2023, Reliability Engineering & System Safety.

Wavelet Convolutional Neural Network with Multilabel Classifier: A Compound Fault Diagnosis Framework and Its Interpretability Analysis

Weihua Li, Ruyi Huang, Junbin Chen, 2022, 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

An Intelligent Compound Fault Diagnosis Method Using One-Dimensional Deep Convolutional Neural Network With Multi-Label Classifier

Ruyi Huang, Weihua Li, Lingli Cui, 2019, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

A Novel Strategy for Global Lane Detection Based on Key-Point Regression and Multi-Scale Feature Fusion

Weihua Li, Yun Xie, Minghao Li, 2022, IEEE transactions on intelligent transportation systems (Print).

Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices

Weihua Li, Zhuyun Chen, Wu Qin, 2023, Sensors.

A Data-Driven Approach for Power IGBT Operation State Prediction Based on Domain Adapted BiLSTM Networks

Weihua Li, Ruyi Huang, Jipu Li, 2023, 2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery

Weihua Li, Ruyi Huang, Gang Chen, 2024, IEEE Access.

Gradient flow-based meta generative adversarial network for data augmentation in fault diagnosis

Weihua Li, Zhuyun Chen, Rugen Wang, 2023, Appl. Soft Comput..

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

Weihua Li, Ruyi Huang, Zhuyun Chen, 2023, IEEE Transactions on Instrumentation and Measurement.