论文部分内容阅读
为实现低信噪比下的微弱信号检测,提出一种基于局域波和混沌的微弱信号检测方法.将微弱的故障信号分解为有限的并且具有不同基本模式的分量,每个分量为单一成分信号,实现了信噪分离.将局域波分量输入所设计的混沌振子,混沌振子系统行为由混沌状态变为大周期运动状态,表明检测信号中含有特征成分,实现了利用混沌振子对低信噪比微弱信号的检测识别.对转子系统早期碰摩故障信号检测结果说明了该方法的有效性.
In order to realize the weak signal detection under low signal-to-noise ratio, a weak signal detection method based on local wave and chaos is proposed. The weak fault signal is decomposed into finite components with different basic modes, each component is a single component Signal to achieve the separation of signal and noise.The local wave components are input into the designed chaotic oscillator and chaotic oscillator system from chaos state to large-period motion state, which indicates that the detection signal contains characteristic components, Detection and identification of signal with weak signal to noise ratio. The detection results of early rub-impact fault signal in rotor system demonstrate the effectiveness of this method.