Jipu Li
Orcid: 0000-0002-9113-1465
According to our database1,
Jipu Li
authored at least 26 papers
between 2016 and 2024.
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Bibliography
2024
Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics, September, 2024
Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data.
IEEE Trans. Instrum. Meas., 2024
A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples.
Reliab. Eng. Syst. Saf., 2024
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery.
Expert Syst. Appl., 2024
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise.
CoRR, 2024
Source-free Open-set Domain Adaptation Network for Emerging Fault Diagnosis of Planetary Gearbox.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
2023
Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network.
Adv. Eng. Informatics, August, 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
Resource-Efficient Network for Intelligent Fault Diagnosis Using Tree-Structured Parzen Estimator.
Proceedings of the 7th International Conference on System Reliability and Safety, 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
A Solution for Seamless and Reliable Communication through Deterministic Space-Based Optical Networks.
Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022
Delay Advantage of Optical Satellite Networks (OSN) in Long-Distance Transoceanic Communication.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022
Intelligent Cross-domain Fault Diagnosis For Rotating Machinery Using Multiscale Adversarial Convolutional Neural Network.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022
2021
Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task.
IEEE Trans. Instrum. Meas., 2021
Enabling Transmission-Aware Adaptive Optical Time Slice Switching in Time-Varying Optical Time Sliced Networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 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
Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Ind. Informatics, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2016
On QoS-Assured Degraded Provisioning in Service-Differentiated Multi-Layer Elastic Optical Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016