Fault Diagnosis of Wind Turbine with Alarms Based on Word Embedding and Siamese Convolutional Neural Network

Fault Diagnosis of Wind Turbine with Alarms Based on Word Embedding and Siamese Convolutional Neural Network

Alarms generated by a wind turbine alarm system indicate the need for emergency action by operators to protect the turbine from running into risky conditions. However, it can be challenging for operators to identify the fault types that trigger alarms, particularly with few labeled fault samples. Th...

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Bibliografische gegevens
Hoofdauteurs: Lu Wei, Jiaqi Qu, Liliang Wang, Feng Liu, Zheng Qian, Hamidreza Zareipour
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2023-06-01
Reeks:Applied Sciences
Onderwerpen:
wind turbines
alarms
fault diagnosis
Siamese convolutional neural network
word embedding
Online toegang:https://www.mdpi.com/2076-3417/13/13/7580

Internet

https://www.mdpi.com/2076-3417/13/13/7580

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