Email this article Analysis of vibration signals of micro-size aircraft engines based on joint time-frequency method
- Authors: Xin M.1, Qin H.2, Ye Z.1, Wang L.3
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Affiliations:
- School of Energy and Power, Nanjing University of Aeronautics and Astronautics
- Suzhou Research Institute of Harbin Institute of Technology
- AVIC Leihua Electronic Technology Research Institute
- Issue: Vol 11, No 1 (2025): 30.04.2025
- Pages: 105-117
- Section: Articles
- URL: https://bakhtiniada.ru/2409-4579/article/view/312377
- DOI: https://doi.org/10.18287/2409-4579-2025-11-1-105-117
- ID: 312377
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Abstract
As the current analysis technology for vibration signals cannot be a comprehensive study of the signal, which leads to the signal analysis not meeting the requirements of practical application, to more in-depth analysis of small engine vibration signals, the project team adopts time-frequency analysis technology to carry out specific work. By using LABVIEW2022 software programming, the application program based on the joint time-frequency method is realized to study the vibration signal of a small engine and determine the running state of the engine according to the corresponding results, to determine whether the engine performance is good. By using the STFT method, Gabor transform method, Wigner distribution method, CSD method, adaptive spectrum method, CWD method, MIF method, and MIB method, the corresponding programs are successfully used to realize the joint time-frequency analysis of such signals. The time-frequency analysis method mentioned above can achieve the expected effect.
About the authors
Mai Xin
School of Energy and Power, Nanjing University of Aeronautics and Astronautics
Author for correspondence.
Email: xinmai_xm@nuaa.edu.cn
Candidate of Science, Senior Engineer, Postgraduate Student
China, NanJing, 210016, ChinaHui Qin
Suzhou Research Institute of Harbin Institute of Technology
Email: qinhuihui_hqq@163.com
Ph.D., Senior Engineer, Researcher
China, Suzhou, 215000, ChinaZhifeng Ye
School of Energy and Power, Nanjing University of Aeronautics and Astronautics
Email: yezhifen_yzf@nuaa.edu.cn
Ph.D., Professor, Director
China, NanJing, 210016, ChinaLingyan Wang
AVIC Leihua Electronic Technology Research Institute
Email: wanglingyan_wlly@163.com
Master's Degree, Senior Engineer, Researcher
China, Wuxi, 214000, ChinaReferences
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