A Compressor Stall Warning System for Aeroengines Based on the Continuous Wavelet Transform and a Vision Transformer
Publication: Journal of Aerospace Engineering
Volume 37, Issue 6
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 measures to avoid compressor instability as much as possible. This paper proposes a compressor rotating stall warning system that combines continuous wavelet transform (CWT) and a vision transformer (ViT), called a CWT-ViT system. Specifically, the system transforms one-dimensional time-series dynamic pressure signal data into two-dimensional color time–frequency images using CWT, which serves as the input to train the ViT classifier. In response to sensor failure, a model ranking execution strategy was adopted to improve the reliability of the whole system. The feasibility and performance of the proposed system were evaluated in different operating modes and sensor failure conditions using compressor stall experiments. The results showed that the average classification accuracy of the proposed system in stall warning tasks was 97.66%, which was the highest among all methods. In addition, the proposed system can maintain an early warning time of over 160 m seven in the case of sensor faults, which was the best warning performance among all methods.
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Data Availability Statement
Some or all data, models, or codes generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. The aeroengine data cannot be provided because they are proprietary and part of an ongoing project. Some algorithm codes can be provided by the corresponding author upon reasonable request.
Acknowledgments
This research was supported in part by the National Science and Technology Major Project (J2019-I-0010-0010), in part by the Science Center for Gas Turbine Project (P2022-B-V-002-001), and in part by the Fundamental Research Funds for the Central Universities (J2022-029).
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Published In
Journal of Aerospace Engineering
Volume 37 • Issue 6 • November 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Feb 27, 2024
Accepted: Jun 14, 2024
Published online: Aug 27, 2024
Published in print: Nov 1, 2024
Discussion open until: Jan 27, 2025
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