Fault Diagnosis of Power Cable Based on 1DCNN-BiLSTM
In order to improve the accuracy of fault diagnosis of power cable failure to ensure a cable fault detection method based on convolution neural network (CNN) and bi-directional long short term memory (BiLSTM) was proposed in this paper. The simulation model was built through Simulink to extract th...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Chinês |
| I whakaputaina: |
Editorial Office of Journal of Zhengzhou University (Engineering Science)
2023-09-01
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| Rangatū: | Zhengzhou Daxue xuebao. Gongxue ban |
| Ngā marau: | |
| Urunga tuihono: | http://gxb.zzu.edu.cn/Upload/PaperUpLoad/0d929127-1c1d-44cc-9bea-ff27766f16a4.pdf |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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