Código QR (código de barras bidimensional)

Fault Identification for Wind Turbine Based on Attention Mechanism and RCN-BiLSTM Fusion

To improve the identification accuracy of wind turbine faults, an RCN-BiLSTM-Attention wind turbine fault identification method based on the attention mechanism (AM) and the fusion of residual capsule network (RCN) and bidirectional long short-term memory (BiLSTM) network is proposed. First, the abn...

תיאור מלא

שמור ב:
Principais autores: Xiaoqian CHEN, Liang YIN, Zonghui ZHAN, Fang WANG, Xutao LI
פורמט: Artigo
שפה:Chinês
יצא לאור: State Grid Energy Research Institute 2025-08-01
סדרה:Zhongguo dianli
נושאים:
wind turbine
fault identification
bidirectional long short-term memory
גישה מקוונת:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202412081
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!

פריטים דומים