2025
CRULP: Reliable RUL Estimation Inspired by Conformal Prediction.
IEEE Trans. Instrum. Meas., 2025
2024
Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios.
IEEE Internet Things J., July, 2024
Ring Array Scatter Feature Adaption Deep Transfer Imaging Method for Composite Plate Structure Health Monitoring Using Guided Waves.
IEEE Trans. Instrum. Meas., 2024
Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data.
IEEE Trans. Instrum. Meas., 2024
A Time-Series Data-Driven Method for Milling Force Prediction of Robotic Machining.
IEEE Trans. Instrum. Meas., 2024
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery.
Eng. Appl. Artif. Intell., 2024
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery.
IEEE Access, 2024
An Interpretable Fault Diagnosis Framework based on Capsule Network with Statistical Features.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Multi-Scale Dilated Convolutional Auto-Encoder Network for Weak Feature Extraction and Health Condition Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 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
A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis.
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
A Robust Weight-Shared Capsule Network for Intelligent Machinery Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2020
A Transferable Capsule Network for Decoupling Compound Fault of Machinery.
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