- Tytuł:
-
Method of
inter -turn fault detection for next-generation smart transformers based on deep learning algorithm - Autorzy:
- Temat:
-
learning (artificial intelligence)
power transformersfault diagnosis
feature extraction
signal sampling
power engineering computing
signal classification
feature selection
comprehensivefault waveforms
two-dimension data matrix
multichannel waveforms
sparse auto-encoder
channel selection
input signal
signal sampling frequencyinter -turn fault detection
deep learning framework
transformerfault diagnosis
next-generation smart transformers
deep learning algorithminter -turn fault diagnosis method
12-channel data
time-domain monitoring signals
secondary voltage
current waveformsfault typefault waveforms
learning modelfault tags
matlab/simulink
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Electricity
QC501-721 - Źródło:
- High Voltage (2019)
- Opis pliku:
- electronic resource
- Relacje:
- https://digital-library.theiet.org/content/journals/10.1049/hve.2019.0067; https://doaj.org/toc/2397-7264
- Dostęp URL:
- https://doaj.org/article/12c2171ed8fc4f55858baec38b419546  Link otwiera się w nowym oknie
Czasopismo naukowe