《机电工程》杂志,月刊( 详细... )
中国标准连续出版物号: ISSN 1001-4551 CN 33-1088/TH
主办单位:浙江省机电集团有限公司
浙江大学
主编:陈 晓
副 主 编:唐任仲、罗向阳(执行主编)
总 经 理:罗向阳
出 版:浙江《机电工程》杂志社有限公司
地 址:杭州市上城区延安路95号浙江省机电集团大楼二楼211、212室
电话Tel:+86-571-87041360、87239525
E-mail:meem_contribute@163.com
国外发行:中国国际图书贸易总公司
订阅:全国各地邮局 国外代号:M3135
国内发行:浙江省报刊发行局
邮发代号:32-68
广告发布登记证:杭上市管广发G-001号
在线杂志 |
当前位置: 机电工程 >>在线杂志 |
基于随机共振原理的微弱信号检测与应用*
作者:何大海,赵文礼,梅晓俊 日期:2008-04-23/span> 浏览:3494 查看PDF文档
基于随机共振原理的微弱信号检测与应用*
何大海,赵文礼,梅晓俊
(杭州电子科技大学 机械工程学院,浙江 杭州 310018)
摘 要:阐述了应用随机共振对微弱信号进行检测的原理。在研究双稳态非线性系统的基础上,设计了非线性系统及其控制系统电路,该系统可以大大抑制噪声,并在双稳态系统中产生信号调制噪声效应。对双稳态系统的输出信号作了频谱分析,辨识出了淹没在白噪声中的微弱正弦信号频率。实践应用证明,此方法明显提高了信噪比,免去了求解复杂的统计微分方程,这在多传感器测量和机械系统故障早期检测中具有一定的实际应用价值。
关键词:随机共振;双稳态系统;白噪声;微弱信号;信噪比
Application and detection of weak signal based on stochastic resonance
HE Dahai, ZHAO Wenli, MEI Xiaojun
(College of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)
Abstract: The basic principle of stochastic resonance (SR) in weak signal detection was introduced. On the basis of studying nonlinear bistable system, the nonlinear system and its control system circuit were studied. The system can greatly suppress noise and generate signal to adjust noise effect in bistable system. Spectrum analysis in output signal of bistable system can identify the frequency of weak sinusoidal signal concealed in the white noise. The practical application shows that the signalnoise ratio (SNR) can be significantly increased and solving complicated statistical differential equation can be avoided by using the method. It possesses great practical value for application in multisensor measurement and early fault detection of mechanical system.
Key words: stochastic resonance (SR); bistable system; white noise; weak signal; signalnoise ratio (SNR)
参考文献(Reference):
[1]胡 岗.随机力与非线性系统[M].上海:上海科技教育出版社,1994.
[2]杨祥龙,江 波,吴为麟,等.小信号检测中的自适应随机共振技术[J].自动化仪表,2004,25(1):8-10
[3]赵文礼,田 帆,邵柳东.自适应随机共振技术在微弱信号测量中的应用[J].仪器仪表学报,2007,41(3):21-25.
[4]RISKEN H. The Fokker Planck Equation[M]. Berlin: Springer Verlag,1984.
[5]MITAIM S, KOSKO B. Adaptive Stochastic Resonance[C]. Proceedings of the IEEE,1998,86(11):2152-2183.
[6]YE Qinghua, HUANG Haining. A Study on the Parameters of Bistable Stochastic Resonance Systems and Adaptive Stochastic Resonance[C]. Proceedings of the IEEE,2003:484-488.
[7]ASDJ A S, TEWFIK A H. Detection of Weak Signals Adaptive Stochastic Resonance[C]. IEEE,1995:1332-1335.
[8]胡莺庆,陈 敏.随机共振在转子摩擦故障早期检测当中的应用[J].机械工程学报,2001,31(9):88-91.
友情链接