Research output per year
Research output per year
Project Details
Description
The vibration signals of transformer are collected, and the Convolutional Neural Network (CNN) model is used for feature extraction and pattern recognition. Finally, different states are classified to realize the fault diagnosis function of transformer.
Funding: CSC Scholarship
Funding: CSC Scholarship
| Status | Finished |
|---|---|
| Effective start/end date | 12/11/2021 → 12/11/2022 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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Research output
- 1 Journal article
-
Simultaneous Multi-Spot Temperature Prediction of Traction Transformer in Urban Rail Transit Using Long Short-Term Memory Networks
Li, C., Chen, J., Xue, C., Liu, Z. & Davari, P., 1 Sept 2023, In: IEEE Transactions on Transportation Electrification. 9, 3, p. 4552-4561 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
1 Citation (Scopus)