Lei Song

Orcid: 0000-0003-1609-2192

Affiliations:
  • Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China
  • North China Electric Power University, Beijing, China (PhD 2015)


According to our database1, Lei Song authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Novel Transfer Learning Approach for State-of-Health Prediction of Lithium-Ion Batteries in the Absence of Run-to-Failure Data.
IEEE Trans. Instrum. Meas., 2024

Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks.
Appl. Soft Comput., 2024

Online Anomaly Detection for Streaming Data in the Presence of Missing Values.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

PatchTCN: Patch-Based Transformer Convolutional Network for Times Series Analysis.
Proceedings of the 2024 3rd International Symposium on Computing and Artificial Intelligence, 2024

Feature Analysis for Incomplete Time Series Classification.
Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2024

A fine-tuning framework for cross-domain RUL prediction based on relevant health indicators.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2022
Consistent Anomaly Detection and Localization of Multivariate Time Series via Cross-Correlation Graph-Based Encoder-Decoder GAN.
IEEE Trans. Instrum. Meas., 2022

Mechanism Analysis and Self-Adaptive RBFNN Based Hybrid Soft Sensor Model in Energy Production Process: A Case Study.
Sensors, 2022

2021
Robust unsupervised anomaly detection via multi-time scale DCGANs with forgetting mechanism for industrial multivariate time series.
Neurocomputing, 2021

2020
An improvement growing neural gas method for online anomaly detection of aerospace payloads.
Soft Comput., 2020

A Robust Model-Based Approach for Bearing Remaining Useful Life Prognosis in Wind Turbines.
IEEE Access, 2020

Anomaly Detection of Aerospace Facilities Using Ganomaly.
Proceedings of the ICMSSP 2020: 5th International Conference on Multimedia Systems and Signal Processing, 2020

2019
Online Anomaly Detection of Streaming Data for Space Payloads Based on Improved GNG Algorithm.
Proceedings of the 4th International Conference on Multimedia Systems and Signal Processing, 2019


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