Xiaoli Zhao
Orcid: 0000-0002-9803-4158Affiliations:
- Nanjing University of Science and Technology, Nanjing, Jiangsu, China
According to our database1,
Xiaoli Zhao
authored at least 42 papers
between 2016 and 2025.
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Bibliography
2025
A New Intelligent Recognition Method for Surface Electromyography in IoT Systems Using OmniXceptionDBN.
IEEE Internet Things J., July, 2025
MAACCN: An Intelligent Decoupling Diagnosis Method for Compound Faults in Electrohydrostatic Actuators.
IEEE Trans. Instrum. Meas., 2025
Diffusion-Enhanced Dual-Domain Adversarial Network: A Zero-Shot Fault Diagnosis Method for Electrohydrostatic Actuators.
IEEE Trans. Instrum. Meas., 2025
Multiple classifiers inconsistency-based deep adversarial domain generalization method for cross-condition fault diagnosis in rotating systems.
Reliab. Eng. Syst. Saf., 2025
Graph isomorphism wavelet convolutional networks for small-sample fault diagnosis of rotating machinery using multi-sensor information fusion.
Expert Syst. Appl., 2025
Remaining useful life prediction of equipment using a multiobjective optimization reinforced prognostic approach.
Comput. Ind. Eng., 2025
A novel progressive domain separation network with multi-metric ensemble quantification for open set fault diagnosis of motor bearings.
Adv. Eng. Informatics, 2025
Adv. Eng. Informatics, 2025
2024
A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems.
IEEE Internet Things J., July, 2024
Model-Assisted Multi-source Fusion Hypergraph Convolutional Neural Networks for intelligent few-shot fault diagnosis to Electro-Hydrostatic Actuator.
Inf. Fusion, April, 2024
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment.
IEEE Trans. Ind. Informatics, February, 2024
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift.
Reliab. Eng. Syst. Saf., January, 2024
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence.
Reliab. Eng. Syst. Saf., 2024
Knowl. Based Syst., 2024
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment.
IEEE Internet Things J., 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
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions.
Adv. Eng. Informatics, 2024
IEEE Access, 2024
2023
Reliab. Eng. Syst. Saf., November, 2023
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions.
Expert Syst. Appl., October, 2023
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss.
Expert Syst. Appl., September, 2023
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data.
Expert Syst. Appl., July, 2023
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data.
IEEE Trans. Ind. Informatics, April, 2023
A Novel Multisensor Fusion Transformer and Its Application Into Rotating Machinery Fault Diagnosis.
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
Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions.
IEEE Trans. Ind. Informatics, 2023
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations.
Sensors, 2023
Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions.
Reliab. Eng. Syst. Saf., 2023
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions.
Reliab. Eng. Syst. Saf., 2023
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions.
Knowl. Based Syst., 2023
2022
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions.
Reliab. Eng. Syst. Saf., 2022
Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data.
Adv. Eng. Informatics, 2022
2021
Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing.
IEEE Trans. Instrum. Meas., 2021
Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2021
Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data.
IEEE Trans. Ind. Informatics, 2021
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics.
Appl. Soft Comput., 2021
2020
Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine.
IEEE Access, 2020
2019
A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis.
Neurocomputing, 2019
2018
Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis.
Neurocomputing, 2018
2016
A method to integrate KSSOMFA and WKNN together on faults identification of rotating machinery.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016