Jinrui Wang
Orcid: 0000-0001-8690-0672
According to our database1,
Jinrui Wang
authored at least 36 papers
between 2006 and 2024.
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Bibliography
2024
An attention mechanism-guided domain adversarial network for gearbox fault diagnosis under different operating conditions.
Trans. Inst. Meas. Control, 2024
Adaptive Convolution Sparse Filtering Method for the Fault Diagnosis of an Engine Timing Gearbox.
Sensors, 2024
2023
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis.
Reliab. Eng. Syst. Saf., June, 2023
Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery.
Eng. Appl. Artif. Intell., April, 2023
A Novel Domain Adaptive Fault Diagnosis Method for Bearings Based on Unbalance Data Generation.
IEEE Trans. Instrum. Meas., 2023
Cross-domain Collaborative Learning for Recognizing Multiple Retinal Diseases from Wide-Field Fundus Images.
CoRR, 2023
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023
Proceedings of the Semantic Web - ISWC 2023, 2023
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2022
Parallel Cross-Sparse Filtering Networks and Its Application on Fault Diagnosis of Rotating Machinery.
J. Sensors, 2022
2021
J. Supercomput., 2021
A Generalizable Sample Resolution Augmentation Method for Mechanical Fault Diagnosis Based on ESPCN.
J. Sensors, 2021
Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing.
Neurocomputing, 2021
An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition.
Neurocomputing, 2021
Entropy, 2021
A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery.
Entropy, 2021
A Non-Contact Fault Diagnosis Method for Bearings and Gears Based on Generalized Matrix Norm Sparse Filtering.
Entropy, 2021
2020
Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis.
Neurocomputing, 2020
A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition.
Neurocomputing, 2020
A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples.
Neurocomputing, 2020
Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions.
Complex., 2020
A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis.
IEEE Access, 2020
Multidimensional Blind Deconvolution Method Based on Cross-Sparse Filtering for Weak Fault Diagnosis.
IEEE Access, 2020
A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition.
IEEE Access, 2020
A Generic Intelligent Bearing Fault Diagnosis System Using Convolutional Neural Networks With Transfer Learning.
IEEE Access, 2020
A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation.
IEEE Access, 2020
Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation.
IEEE Access, 2020
Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions.
IEEE Access, 2020
2019
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines.
Neurocomputing, 2019
Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method.
Neurocomputing, 2019
Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery.
IEEE Access, 2019
Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks.
IEEE Access, 2019
2018
A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis.
Neurocomputing, 2018
A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions.
IEEE Access, 2018
2006
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006