Haidong Shao
Orcid: 0000-0002-8018-1774
According to our database1,
Haidong Shao
authored at least 80 papers
between 2017 and 2025.
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Bibliography
2025
Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains.
Expert Syst. Appl., 2025
2024
Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform.
IEEE Internet Things J., July, 2024
PSparseFormer: Enhancing Fault Feature Extraction Based on Parallel Sparse Self-Attention and Multiscale Broadcast Feedforward Block.
IEEE Internet Things J., July, 2024
IEEE Internet Things J., July, 2024
Slice-Oriented Signal Probability Distribution Measure for Wind Turbine Generator Bearing Condition Monitoring Under Variable Speed Conditions.
IEEE Trans. Ind. Informatics, April, 2024
BCE-FL: A Secure and Privacy-Preserving Federated Learning System for Device Fault Diagnosis Under Non-IID Condition in IIoT.
IEEE Internet Things J., April, 2024
Class-Aware Adversarial Multiwavelet Convolutional Neural Network for Cross-Domain Fault Diagnosis.
IEEE Trans. Ind. Informatics, March, 2024
LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention.
Expert Syst. Appl., March, 2024
Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly.
Expert Syst. Appl., March, 2024
rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system.
Expert Syst. Appl., March, 2024
Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis.
Expert Syst. Appl., March, 2024
A Semi-Supervised Matrixized Graph Embedding Machine for Roller Bearing Fault Diagnosis Under Few-Labeled Samples.
IEEE Trans. Ind. Informatics, January, 2024
Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System.
IEEE Trans. Instrum. Meas., 2024
A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples.
Reliab. Eng. Syst. Saf., 2024
Multi-source domain self-supervised enhanced transfer fault diagnosis approach with source sample refinement strategy.
Reliab. Eng. Syst. Saf., 2024
Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds.
Reliab. Eng. Syst. Saf., 2024
Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling.
Reliab. Eng. Syst. Saf., 2024
Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis.
Knowl. Based Syst., 2024
An adaptive model with dual-dimensional attention for remaining useful life prediction of aero-engine.
Knowl. Based Syst., 2024
Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data.
Knowl. Based Syst., 2024
Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains.
Expert Syst. Appl., 2024
Multiscale information enhanced spatial-temporal graph convolutional network for multivariate traffic flow forecasting via magnifying perceptual scope.
Eng. Appl. Artif. Intell., 2024
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery.
Adv. Eng. Informatics, 2024
SFDA-T: A novel source-free domain adaptation method with strong generalization ability for fault diagnosis.
Adv. Eng. Informatics, 2024
Automated fault diagnosis of rotating machinery using sub domain greedy Network Architecture search.
Adv. Eng. Informatics, 2024
2023
Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization.
Reliab. Eng. Syst. Saf., November, 2023
Reliab. Eng. Syst. Saf., November, 2023
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals.
Expert Syst. Appl., November, 2023
C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples.
Eng. Appl. Artif. Intell., November, 2023
Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis.
Knowl. Based Syst., October, 2023
Data Augmentation and Intelligent Fault Diagnosis of Planetary Gearbox Using ILoFGAN Under Extremely Limited Samples.
IEEE Trans. Reliab., September, 2023
A new framework for intelligent fault diagnosis of spiral bevel gears with unbalanced data.
Appl. Intell., September, 2023
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy.
Reliab. Eng. Syst. Saf., August, 2023
FGDAE: A new machinery anomaly detection method towards complex operating conditions.
Reliab. Eng. Syst. Saf., August, 2023
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine.
Eng. Appl. Artif. Intell., April, 2023
A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains.
Knowl. Based Syst., February, 2023
Knowl. Based Syst., February, 2023
Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation.
IEEE Trans. Ind. Informatics, 2023
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations.
Sensors, 2023
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging.
Reliab. Eng. Syst. Saf., 2023
Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises.
Robotics Comput. Integr. Manuf., 2023
Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023
2022
Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Intelligent Process Monitoring of Laser-Induced Graphene Production With Deep Transfer Learning.
IEEE Trans. Instrum. Meas., 2022
Graph Cardinality Preserved Attention Network for Fault Diagnosis of Induction Motor Under Varying Speed and Load Condition.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine.
IEEE Trans. Ind. Electron., 2022
High-accuracy gearbox health state recognition based on graph sparse random vector functional link network.
Reliab. Eng. Syst. Saf., 2022
Parallel service mode of production and inventory for spare part inventory optimization.
Knowl. Based Syst., 2022
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples.
Knowl. Based Syst., 2022
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates.
Adv. Eng. Informatics, 2022
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework.
Adv. Eng. Informatics, 2022
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix.
Adv. Eng. Informatics, 2022
2021
Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images.
IEEE Trans. Instrum. Meas., 2021
A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation.
IEEE Trans. Ind. Informatics, 2021
Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images.
IEEE Trans. Ind. Informatics, 2021
Reliab. Eng. Syst. Saf., 2021
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning.
Reliab. Eng. Syst. Saf., 2021
Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression.
Reliab. Eng. Syst. Saf., 2021
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance.
Inf. Fusion, 2021
Proceedings of the 16th International Conference on Computer Science & Education, 2021
Unsupervised Domain-shared Convolutional Neural Network for Bearing Fault Transfer Diagnosis.
Proceedings of the 16th International Conference on Computer Science & Education, 2021
2020
Intelligent Fault Diagnosis of Rolling Bearing Using Adaptive Deep Gated Recurrent Unit.
Neural Process. Lett., 2020
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing.
Knowl. Based Syst., 2020
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions.
Knowl. Based Syst., 2020
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples.
Knowl. Based Syst., 2020
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE.
Adv. Eng. Informatics, 2020
2019
Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples.
IEEE Access, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
2018
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network.
IEEE Trans. Ind. Electron., 2018
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine.
Knowl. Based Syst., 2018
A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery.
J. Intell. Fuzzy Syst., 2018
Rolling bearing fault detection using continuous deep belief network with locally linear embedding.
Comput. Ind., 2018
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
2017
Knowl. Based Syst., 2017