汽车微弱振动信号的混沌振子识别

混沌振子对微弱信号的检测在实际应用中具有重要价值。论文介绍了微弱信号检测的混沌振子理论，提出了混沌振子的幅频联调自适应方法，用以识别微弱信号，并给出了幅频联调自适应方法的具体步骤．对淹没在强噪声中微弱周期信号混沌检测进行了仿真分析。针对汽车在运行中飞轮壳出现裂纹的问题，用混沌振子进行了实际微弱振动信号识别。与相关的其它研究进行对比，确定所识别出的单周期微弱振动信号，说明了该裂纹的出现，该项研究可应用于汽车各个部件的隐蔽性故障分析。

Chaotic Identification to Weak Signals of Automobile

The chaotic oscillator is valuable for weak signal detection,The corresponding theory is introduced and the adaptive adjustment method conjoined the amplitude with frequency is employed to identify the weak signals.The simulation analysis with chaotic detection for weak periodic signals submerged in violent noise is carried out.For a cracked flywheel shell in automobile,the real weak vibration signal identification is achieved.A comparison with the correlative studies indicates the validity of this method in automobile part fault analysis.