Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM

Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM

Aeroengine working condition recognition is a pivotal step in engine fault diagnosis. Currently, most research on aeroengine condition recognition focuses on the stable condition. To identify the aeroengine working conditions including transition conditions and better achieve the fault diagnosis of...

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Bibliographic Details
Main Authors: Jinsong Zheng, Jingbo Peng, Weixuan Wang, Shuaiguo Li
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
aeroengine
working condition recognition
convolutional neural networks
multi-scale
bidirectional long short-term memory neural networks
Online Access:https://www.mdpi.com/1424-8220/22/18/7071

Internet

https://www.mdpi.com/1424-8220/22/18/7071

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