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西北工业大学 国内
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Physics-Guided Neural Network Model for Aeroengine Control System Sensor Fault Diagnosis under Dynamic Conditions
Huihui Li,
Linfeng Gou
,
Huacong Li
, Zhidan Liu
动力与能源学院
Northwestern Polytechnical University Xian
科研成果
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10
引用 (Scopus)
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探究 'Physics-Guided Neural Network Model for Aeroengine Control System Sensor Fault Diagnosis under Dynamic Conditions' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Aeroengine
100%
Control System
100%
Convolutional Neural Network
100%
Deep Learning Method
50%
Diagnostic Result
50%
Dynamic Condition
100%
Experimental Result
50%
Fault Diagnosis
100%
Flight Safety
50%
Fusion Scheme
50%
Great Importance
50%
Limitations
50%
Loss Function
50%
Lstm
50%
Measurement Data
50%
Network Model
100%
Non-Linear Dynamics
50%
Physical Model
50%
Predicted Value
50%
Residual Signal
100%
Sensor Measurement
100%
System State
50%
Temporal Information
50%
Material Science
Aeroengine
100%
Sensor System
100%
Chemical Engineering
Deep Learning Method
14%
Long Short-Term Memory
14%
Neural Network
100%