摘要
航空发动机气动失稳状态严重影响发动机的性能和安全,如何对气动失稳先兆进行预测判断是发动机领域重要的研究内容之一。基于小波熵在非平稳、瞬变微弱信号辨识方面有着良好的定位能力和灵敏度,将小波熵用于气动失稳信号先兆的捕获。以实际发动机失稳信号为样本进行小波熵分析。分析结果表明,小波熵能够及时捕获失稳先兆信号并给出报警信息。而且此算法具有较好的普适性,有利于发动机失稳的在线预警。
Aerodynamic instability is always a severe limitation on aero-engine's performance. So it is particularly necessary to find an effective approachfor instability inception signal detection. In view of its good performance on extraction of low power, transient and weak signal, the wavelet entropy isused to recognize instability inception signal of the compressor in this paper. It is illustrated that by using the wavelet entropy, the instability inceptionsignal can be accurately located and an early warning can be obtained. And moreover, the wavelet entropy does not depend on scale selection. In a word,the wavelet entropy is suitable for on-line aerodynamic instability detection.
出处
《微型电脑应用》
2011年第6期54-57,3,共5页
Microcomputer Applications
基金
航空基金(10c53072)
关键词
航空发动机
气动失稳
小波熵
失稳先兆
Aero-engine
Aerodynamic Instability
Wavelet Entropy
Instability Inception
