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Dual Attention Smoothing Adaptation Networks for Aeroengine Multisource Cross-Domain Fault Diagnosis under Category Shift
Publisher: American Society of Civil Engineers
Abstract: In aeroengine fault diagnosis, domain adaptation-based methods have effectively handled the data distribution shift caused by variations in operating conditions. However, current research mainly focuses on knowledge transfer ...
A Turboshaft Aeroengine Fault Detection Method Based on One-Class Support Vector Machine and Transfer Learning
Publisher: ASCE
Abstract: The fault detection of turboshaft engines is very important to ensure the flight safety of helicopters. Because there are few fault data in engine historical operation data, engine fault detection is often regarded as an ...
Novel Radial Basis Function Network Based on Dynamic Time Warping and Kalman Filter for Real-Time Monitoring of Supersonic Inlet Flow Patterns
Publisher: ASCE
Abstract: As the basis of protection control, supersonic inlet plays an important role in a supersonic air-breathing propulsion system. To reduce the negative effects of buzz flow on the supersonic inlet and ensure safe and stable ...
Novel Transfer Learning Based on Support Vector Data Description for Aeroengine Fault Detection
Publisher: ASCE
Abstract: Fault detection is an important part of aeroengine health management. Intelligent fault detection methods represented by machine learning have been widely studied. However, most studies assume that training and test data ...
A Compressor Stall Warning System for Aeroengines Based on the Continuous Wavelet Transform and a Vision Transformer
Publisher: American Society of Civil Engineers
Abstract: The aerodynamic stability of a compressor has a crucial impact on the performance of modern aircraft power system. It is necessary to design an accurate and reliable rotating stall warning system to take active control ...
A Novel Hybrid Aeroengine Modeling Method for Combining Data-Driven Modules
Publisher: American Society of Civil Engineers
Abstract: Aeroengine models are widely used to identify aerodynamic parameters of components and play an important role in many applications. Due to differences in gas path characteristics, traditional physics-based models do not ...
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