Xiaoan Yan
Orcid: 0000-0001-6986-6943
According to our database1,
Xiaoan Yan
authored at least 42 papers
between 2011 and 2025.
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Bibliography
2025
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios.
Expert Syst. Appl., 2025
2024
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment.
IEEE Trans. Ind. Informatics, February, 2024
Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis.
IEEE Trans. Ind. Informatics, January, 2024
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift.
Reliab. Eng. Syst. Saf., January, 2024
Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions.
IEEE Trans. Instrum. Meas., 2024
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence.
Reliab. Eng. Syst. Saf., 2024
MIFDELN: A multi-sensor information fusion deep ensemble learning network for diagnosing bearing faults in noisy scenarios.
Knowl. Based Syst., 2024
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment.
IEEE Internet Things J., 2024
CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis.
Inf. Fusion, 2024
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data.
Expert Syst. Appl., 2024
2023
Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis.
Reliab. Eng. Syst. Saf., December, 2023
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery.
Inf. Fusion, July, 2023
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data.
Expert Syst. Appl., July, 2023
Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions.
Expert Syst. Appl., April, 2023
Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Instrum. Meas., 2023
Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023
Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions.
Reliab. Eng. Syst. Saf., 2023
2022
NeuroVI-based new datasets and space attention network for the recognition and falling detection of delivery packages.
Frontiers Neurorobotics, September, 2022
Hierarchical Multiscale Dense Networks for Intelligent Fault Diagnosis of Electromechanical Systems.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Ind. Electron., 2022
Bearing Fault Feature Extraction Method Based on Enhanced Differential Product Weighted Morphological Filtering.
Sensors, 2022
Dually attentive multiscale networks for health state recognition of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions.
Reliab. Eng. Syst. Saf., 2022
Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Reliable Fault Diagnosis of Bearings Using an Optimized Stacked Variational Denoising Auto-Encoder.
Entropy, 2022
2021
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor-bearing system within entire life-cycle process.
Knowl. Based Syst., 2021
A novel multi-scale fusion framework for detail-preserving low-light image enhancement.
Inf. Sci., 2021
Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy.
Entropy, 2021
Application of Generalized Composite Multiscale Lempel-Ziv Complexity in Identifying Wind Turbine Gearbox Faults.
Entropy, 2021
2020
A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine.
Sensors, 2020
Sensors, 2020
Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions.
Knowl. Based Syst., 2020
Multi-focus image fusion using learning based matting with sum of the Gaussian-based modified Laplacian.
Digit. Signal Process., 2020
Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score.
Complex., 2020
2019
Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection.
Knowl. Based Syst., 2019
A Multi-Stage Hybrid Fault Diagnosis Approach for Rolling Element Bearing Under Various Working Conditions.
IEEE Access, 2019
A Feature Selection Framework-Based Multiscale Morphological Analysis Algorithm for Fault Diagnosis of Rolling Element Bearing.
IEEE Access, 2019
2018
A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing.
Neurocomputing, 2018
2011
Reconfigurable MRI-guided robotic surgical manipulator: Prostate brachytherapy and neurosurgery applications.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
An affordable compact humanoid robot for autism spectrum disorder interventions in children.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011