A PCA-LSTM-Based Method for Fault Diagnosis and Data Recovery of Dry-Type Transformer Temperature Monitoring Sensor
- DOI
- 10.3390/app12115624
- Published
- 06
- Container
- Applied Sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/app12115624,
title = {A PCA-LSTM-Based Method for Fault Diagnosis and Data Recovery of Dry-Type Transformer Temperature Monitoring Sensor},
author = {Mingze Zheng and Kun Yang and Chunxue Shang and Yi Luo},
year = {2022},
journal = {Applied Sciences},
doi = {10.3390/app12115624},
url = {https://doi.org/10.3390/app12115624}
}RIS
TY - JOUR TI - A PCA-LSTM-Based Method for Fault Diagnosis and Data Recovery of Dry-Type Transformer Temperature Monitoring Sensor AU - Mingze Zheng AU - Kun Yang AU - Chunxue Shang AU - Yi Luo PY - 2022 JO - Applied Sciences DO - 10.3390/app12115624 UR - https://doi.org/10.3390/app12115624 ER -
APA
Zheng, M., Yang, K., Shang, C., & Luo, Y. (2022). A PCA-LSTM-Based Method for Fault Diagnosis and Data Recovery of Dry-Type Transformer Temperature Monitoring Sensor. Applied Sciences. https://doi.org/10.3390/app12115624
Source records
- doaj · retrieved 2026-11-10T09:20:08.127Z