Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine
One of the critical components in most electromechanical systems are the bearing system. Therefore, a proper condition monitoring method that can classify the type and the severity of electrical machine faults in different load levels is crucial to avoid unwanted downtime and loss of operation. Non-...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Amirkabir University of Technology
2022-06-01
|
| Rangatū: | AUT Journal of Electrical Engineering |
| Ngā marau: | |
| Urunga tuihono: | https://eej.aut.ac.ir/article_4612_af01e06a25ac223f444d5ee134923a79.pdf |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|