| 航空发动机气动失稳在线监测试验技术 |
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| 引用本文： | 彭生红,刘志友,张志林,钟明,田应维,程曦.航空发动机气动失稳在线监测试验技术[J].航空动力学报,2021,36(9):1880-1886. |
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| 作者姓名： | 彭生红 刘志友 张志林 钟明 田应维 程曦 |
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| 作者单位： | 1.南京航空航天大学 能源与动力学院，南京 210016 |
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| 摘 要： | 针对航空发动机试验时缺乏有效安全监控措施的技术难题，开展航空发动机气动失稳在线监测试验技术研究。通过分析发动机试验失稳动态特征数据，设计基于时频-小波的气动失稳辨识算法，研制出具有国内自主知识产权的航空发动机气动失稳在线监测系统。结果表明:该系统能够准确、及时地检测到发动机失稳特征信号，辨识系统响应时间优于50 ms，工程实用性高，具备对发动机试验气动失稳在线预警能力。
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| 关 键 词： | 气动失稳 失稳特征 信号提取 小波分析 响应时间 |
| 收稿时间： | 2021/3/9 0:00:00 |
Research for online detection of aerodynamic instability while aero-engine test |
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| PENG Shenghong,LIU Zhiyou,ZHANG Zhilin,ZHONG Ming,TIAN Yingwei,CHENG Xi.Research for online detection of aerodynamic instability while aero-engine test[J].Journal of Aerospace Power,2021,36(9):1880-1886. |
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| Authors: | PENG Shenghong LIU Zhiyou ZHANG Zhilin ZHONG Ming TIAN Yingwei CHENG Xi |
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| Affiliation: | 1.College of Energy and Power Engineering， Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China2.Science and Technology on Altitude Simulation Laboratory， Sichuan Gas Turbine Establishment， Aero Engine Corporation of China，Mianyang Sichuan 621700，China |
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| Abstract: | Based on the technological problem for lack of effective safety monitoring measures,the research for online detection of engine aerodynamic instability during aero-engine test was carried out.By analyzing engine instability characteristic data, the aerodynamic instability identification algorithm was designed based on time-frequency and wavelet analysis,and the online detection system of engine aerodynamic instability with one''s own domestic intellectual property right was was developed.Result showed that the system can accurately and timely detect the engine aerodynamic instability characteristic signal, including excellent features such as,identification system response time was less 50 ms,and the project practicability was high.The research demonstrated the ability of online early warning to the engine test aerodynamic instability. |
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| Keywords: | aerodynamic instability instability characteristic signal extract wavelet analysis response time |
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