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| Fault Vibration Signal Analysis of Air Vehicle Flying Based on STFT |
| Received:October 31, 2020 Revised:November 18, 2020 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2021.02.011 |
| KeyWord:STFT vibration signal fault analysis |
| Author | Institution |
| HUANG Meng-hong |
China Academy of Launch Vehicle Technology, Beijing , China |
| ZHU Ling-xian |
Institute 706, Second Academy of China Aerospace Science and Industry Corporation, Beijing , China |
| ZHANG Zhi-yong |
China Academy of Launch Vehicle Technology, Beijing , China |
| HAN Jing-yong |
China Academy of Launch Vehicle Technology, Beijing , China |
| LIU Bo |
China Academy of Launch Vehicle Technology, Beijing , China |
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| Abstract: |
| This paper analyzes the vibration signal of an aircraft in case of fault, and provides the basis for fault location. The STFT (Short Time Fourier Transform) method is applied to the analysis of flight vibration signals. By calculating the STFT spectrum of fault vibration signals and normal vibration signals, the different time-frequency characteristics between them are obtained. By analyzing the time-frequency characteristics of various influencing factors including engine operation, external pneumatic excitation, equipment operation and electrical interference, and comparing with the time-frequency characteristics of fault vibration signals, the basis for fault location is provided. The time-frequency characteristic of the fault vibration signal is the frequency doubled vibration response of a sudden frequency in the middle of flight, and the vibration frequency increases gradually with the increase of time. The analysis shows that only the abnormal operation of the engine has this characteristic. STFT can effectively obtain the time-frequency characteristics of flight vibration signals, and can better understand the time-frequency characteristics of different vibration influencing factors, which provides a new way for flight fault location analysis. |
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