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    Dual Attention Smoothing Adaptation Networks for Aeroengine Multisource Cross-Domain Fault Diagnosis under Category Shift 

    Source: Journal of Aerospace Engineering:;2025:;Volume ( 038 ):;issue: 004:;page 04025035-1
    Author(s): Yu-Qiang Wang; Yong-Ping Zhao
    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 ...
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    A Turboshaft Aeroengine Fault Detection Method Based on One-Class Support Vector Machine and Transfer Learning 

    Source: Journal of Aerospace Engineering:;2022:;Volume ( 035 ):;issue: 006:;page 04022085
    Author(s): Ye Zhu; Chenglie Du; Zhiqiang Liu; Yao-Bin Chen; Yong-Ping Zhao
    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 ...
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    Novel Radial Basis Function Network Based on Dynamic Time Warping and Kalman Filter for Real-Time Monitoring of Supersonic Inlet Flow Patterns 

    Source: Journal of Aerospace Engineering:;2021:;Volume ( 034 ):;issue: 004:;page 04021041-1
    Author(s): Huan Wu; Yong-Ping Zhao; Hui-Jun Tan
    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 ...
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    Novel Transfer Learning Based on Support Vector Data Description for Aeroengine Fault Detection 

    Source: Journal of Aerospace Engineering:;2024:;Volume ( 037 ):;issue: 003:;page 04024018-1
    Author(s): Yong-Ping Zhao; Pei Peng; Yao-Bin Chen; Hui-Jie Jin
    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 ...
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    A Compressor Stall Warning System for Aeroengines Based on the Continuous Wavelet Transform and a Vision Transformer 

    Source: Journal of Aerospace Engineering:;2024:;Volume ( 037 ):;issue: 006:;page 04024088-1
    Author(s): Hui-Jie Jin; Yong-Ping Zhao; Zhi-Qiang Wang; Kuan-Xin Hou
    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 ...
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    A Novel Hybrid Aeroengine Modeling Method for Combining Data-Driven Modules 

    Source: Journal of Aerospace Engineering:;2024:;Volume ( 037 ):;issue: 005:;page 04024055-1
    Author(s): Wen Cai; Yong-Ping Zhao; Ye Zhu; Jun Yin; Zhan-Yan Xu; Wei-Min Liu
    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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    DSpace software copyright © 2002-2015  DuraSpace
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