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28 Aug 2024
SERC
Institute for Infocomm Research
Curriculum-Based Federated Learning for Machine Fault Diagnosis With Noisy Labels
(Pending publish)
Wenjun Sun,
Ruqiang Yan,
Ruibing Jin,
Rui Zhao,
Zhenghua Chen
IEEE Transactions on Industrial Informatics
22 Dec 2023
SERC
Institute for Infocomm Research
FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis
Wenjun Sun,
Ruqiang Yan,
Ruibing Jin,
Rui Zhao,
Zhenghua Chen
IEEE Transactions on Instrumentation and Measurement
24 Oct 2023
SERC
Institute for Infocomm Research
LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis
Wenjun Sun,
Ruqiang Yan,
Ruibing Jin,
Jiawen Xu,
Yuan Yang,
Zhenghua Chen
IEEE Transactions on Reliability
18 Apr 2022
SERC
Institute for Infocomm Research
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction
Ruibing Jin,
Zhenghua Chen,
Keyu Wu,
Min Wu,
Xiaoli Li,
Ruqiang Yan
IEEE Transactions on Instrumentation and Measurement
11 Jan 2022
SERC
Institute for Infocomm Research
Multi-feature Fused Bidirectional Long Short-term Memory for Remaining Useful Life Prediction
Ruibing Jin,
Zhenghua Chen,
Keyu Wu,
Min Wu,
Xiaoli Li,
Ruqiang Yan
2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
20 Sep 2021
SERC
Institute for Infocomm Research
Attention-based sequence to sequence model for machine remaining useful life prediction
Mohamed Ragab,
Zhenghua Chen,
Min Wu,
Chee-Keong Kwoh,
Ruqiang Yan,
Xiaoli Li
Neurocomputing
20 Sep 2021
SERC
Institute for Infocomm Research
Attention-based sequence to sequence model for machine remaining useful life prediction
Mohamed Ragab,
Zhenghua Chen,
Min Wu,
Chee-Keong Kwoh,
Ruqiang Yan,
Xiaoli Li
Neurocomputing
27 May 2021
SERC
Institute for Infocomm Research
Decoupled Feature-Temporal CNN: Explaining Deep Learning-Based Machine Health Monitoring
Chaoyi Zhu,
Zhenghua Chen,
Rui Zhao,
Jinjiang Wang,
Ruqiang Yan
IEEE Transactions on Instrumentation and Measurement
1 Feb 2021
SERC
Institute for Infocomm Research
Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder
Ji-Yan Wu,
Min Wu,
Zhenghua Chen,
Xiao-Li Li,
Ruqiang Yan
IEEE Transactions on Instrumentation and Measurement
7 Dec 2020
SERC
Institute for Infocomm Research
A joint classification-regression method for multi-stage remaining useful life prediction
Ji-Yan Wu,
Min Wu,
Zhenghua Chen,
Xiaoli Li,
Ruqiang Yan
Journal of Manufacturing Systems
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