Ruyi Huang
Orcid: 0000-0003-3575-3793
According to our database1,
Ruyi Huang
authored at least 25 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Trans. Instrum. Meas., 2024
2023
A novel digital twin-driven approach based on physical-virtual data fusion for gearbox fault diagnosis.
Reliab. Eng. Syst. Saf., December, 2023
Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network.
Adv. Eng. Informatics, August, 2023
Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression.
Reliab. Eng. Syst. Saf., June, 2023
A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery.
IEEE Trans. Cybern., March, 2023
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions.
Adv. Eng. Informatics, January, 2023
Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
V2X-Based Cooperative Positioning for Connected Vehicles in GNSS- Denied Environments.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Resource-Efficient Network for Intelligent Fault Diagnosis Using Tree-Structured Parzen Estimator.
Proceedings of the 7th International Conference on System Reliability and Safety, 2023
Gradient-Based Interpretable Graph Convolutional Network for Bearing Fault Diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023
2022
Deep Self-Supervised Domain Adaptation Network for Fault Diagnosis of Rotating Machine With Unlabeled Data.
IEEE Trans. Instrum. Meas., 2022
Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging.
IEEE Trans. Instrum. Meas., 2022
2021
Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task.
IEEE Trans. Instrum. Meas., 2021
Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
A Global-Local Dynamic Adversarial Network for Intelligent Fault Diagnosis of Spindle Bearing.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
2020
Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed.
IEEE Trans. Instrum. Meas., 2020
Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Ind. Informatics, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis.
IEEE Access, 2019
An Intelligent Compound Fault Diagnosis Method Using One-Dimensional Deep Convolutional Neural Network With Multi-Label Classifier.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019
2017
An Active Learning Based Prediction of Epidural Stimulation Outcome in Spinal Cord Injury Patients Using Dynamic Sample Weighting.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017