摘要
混沌学理论研究发现杜芬系统在其处于混沌状态时,对噪声具有很好的"免疫"功能,而对微弱特征信号却十分敏感。在此基础上,通过对两种不同输入信号的研究,进一步验证了杜芬系统在微弱特征信号检测方面的优势。最后,将其应用到转子的损伤检测中,取得了较好的检测效果。
According to chaos theory, finding the Duffing system in a chaotic state has immunization feature in the noise. And for the faint characteristics signal, Duffing system is sensitive. On this facts, through two different input signals, it is confirmed that Duffing system have advantages in faint characteristics signal detection. Finally, this system is applied to the rolling bearing damage detection, and that has achieved an excellent results.
出处
《测控技术》
CSCD
北大核心
2009年第12期20-23,共4页
Measurement & Control Technology
关键词
杜芬
混沌
微弱特征信号
信号检测
Duffing
chaos
faint characteristics signal
signal detection
