A Compressor Stall Warning System for Aeroengines Based on the Continuous Wavelet Transform and a Vision Transformer

Author:

Jin Hui-Jie1ORCID,Zhao Yong-Ping2ORCID,Wang Zhi-Qiang3ORCID,Hou Kuan-Xin4

Affiliation:

1. Ph.D. Candidate, College of Energy and Power Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China. ORCID: .

2. Professor, College of Energy and Power Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China (corresponding author). ORCID: .

3. Professor, College of Energy and Power Engineering, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China. ORCID: .

4. Professor, College of Aeronautical Engineering, Civil Aviation Flight Univ. of China, Guanghan 618703, China.

Publisher

American Society of Civil Engineers (ASCE)

Reference33 articles.

1. The fast Fourier transform

2. Investigation of Pre-stall Mode and Pip Inception in High-Speed Compressors Through the Use of Correlation Integral

3. Dosovitskiy A. et al. 2021. “An image is worth 16x16 words: Transformers for image recognition at scale.” Preprint submitted October 22 2020. http://arxiv.org/abs/2010.11929.

4. Precursors of stall and surge processes in gas turbines revealed by wavelet analysis

5. Machine learning for optimal flow control in an axial compressor

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