基于声阵列信号的风扇喘振先兆特征识别

李泽芃; 乔百杰; 文璧; 陈雪峰

doi:10.13224/j.cnki.jasp.2021.05.004

基于声阵列信号的风扇喘振先兆特征识别

doi: 10.13224/j.cnki.jasp.2021.05.004

李泽芃^1,2,
乔百杰^1,2,
文璧^1,3,
陈雪峰^1,2

1.
西安交通大学机械工程学院,西安 710049
2.
西安交通大学机械工程学院机械制造系统工程国家重点实验室,西安 710061
3.
中国航空发动机集团有限公司四川燃气涡轮研究院,成都 610500

基金项目: 国家自然科学基金（51705397）；中国航空发动机集团有限公司四川燃气涡轮研究院外委课题

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出版历程
- 收稿日期: 2021-01-24
- 刊出日期: 2021-05-28

Identification of fan surge precursors based on acoustic array signals

1.
School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China
2.
The State Key Laboratory for Manufacturing Systems Engineering,School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710061,China
3.
Sichuan Gas Turbine Establishment,Aero Engine Corporation of China,Chengdu 610500,China

摘要

摘要: 提出了一种基于麦克风声阵列信号的航空发动机风扇喘振先兆特征识别方法,有效避免了传统侵入式传感器在测量过程中对管道流场产生的外来干扰。开展多级风扇试验器由稳定旋转至喘振的瞬态测试试验,利用短时傅里叶分析、频谱分析和声模态分解的方法,对喘振先兆特征实现了辨识。结果表明:风扇在进入喘振前有非同步共振频率的强烈单音噪声,约为叶片通过频率的70%,是由多个模态波在转静叶排间共振产生。通过对特征频率和声模态谱的监测可以实现喘振的预警。
- 麦克风阵列 /
- 声模态 /
- 时频分析 /
- 喘振预警 /
- 声波共振
Abstract: An approach for identification of the aero-engine surge precursors was proposed utilizing microphone array measurement, thereby the additional disturbance of classical intrusive measurement was avoided. A transient test on a multi-stage fan experiment was carried out from designed operating condition to surge margin, and the surge inception was realized by signal processing approaches including short-time Fourier transform, spectral analysis and acoustic mode analysis. The results demonstrated the occurrence of asynchronous frequency when the fan operated near the surge margin, and the frequency was about 70% of the blade passing frequency. The cause of such phenomenon was the resonance of azimuthal modes inside the rotor-stator row. The surge-warning was realized by characterizing the feature frequency and mode spectrum.
- microphone array /
- acoustic mode /
- time-frequency analysis /
- surge-warning /
- mode resonance

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