飞机发动机混沌振动信号盲分离检测方法

 发动机混沌振动信号携带着丰富的状态信息，依据混沌振动信号进行状态监测及故障诊断是一种很有前途的技术手段，但由于混沌信号具有伪随机特性及在低频段具有宽频谱等特点，使得传统的方法很难将其从振动信号中分离。在提取混沌振动信号方面，使用快速独立分量分析（Fast ICA）盲分离方法分离出飞机发动机振动信号中的混沌信号。利用功率谱和Lyapunov指数（LE）方法进行了判定，根据计算结果对发动机状态做出判断，验证了盲分离方法分离混沌振动信号的有效。盲分离检测混沌振动信号的方法不仅使依据混沌信号判断飞机发动机状态成为可能,也为利用混沌信号进行状态预测和控制提供了一种方法。

Detection of Chaotic Vibration Signals of Aero-engines with Blind Separation

Using the aero-engine chaotic vibration signals to monitor the state and make diagnosis for an aircraft is a valuable method,because the signals contain plenty of state information of nonlinear systems.However,it is difficult to separate chaos signal from other vibration signals by traditional means,for the chaotic signals have fake random characteristics and a wide frequency spectrum in the low frequency range.In this article,the chaotic vibration signal among aero-engine vibration signals is first separat...