-
摘要: 为了利用微弱信号准确诊断转子系统早期故障, 提出了一种基于局域波法和混沌振子相结合的信号检测方法。利用局域波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, 每个分量是单一成分信号, 实现了信噪分离。将局域波分量输入混沌振子, 通过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的微弱信号识别。故障诊断结果表明: 所提出的检测方法是可行的, 能准确诊断转子系统早期不对中故障。Abstract: In order to accurately diagnose early fault of rotor system with weak signal, a new signal detection method based on local wave method associated with chaos oscillator was presented. Weak fault signal was divided into finite local wave components with different simple-intrinsic modes, so that signal was separated from noise. The components were inputted into chaos oscillator, and were transformed from chaotic states to large-scale periodic states, so that weak signal can be identified under low signal-noise ratio through distinguishing the characteristic frequency of signal. Fault diagnosis result shows that the method is feasible, can accurately diagnose early eccentricity fault of rotor system.
-
Key words:
- marine engineering /
- weak signal detection /
- local wave method /
- chaos /
- fault diagnosis
-
[1] Wang Guan-yu, He Sai-ling. A quantitative study on detection and esti mation of weak signals by using chaotic Duffing oscillators[J]. IEEE Transaction on Circuits and Systems I-fundamental Theory and Applications, 2003, 50(7): 945-953. [2] 聂春燕, 石要武. 基于混沌检测弱信号的混沌特性判别方法的研究[J]. 计量学报, 2000, 21(4): 308-313. doi: 10.3321/j.issn:1000-1158.2000.04.012Nie Chun-yan, Shi Yao-wu. Research of identifying chaotic nature based on chaos to detecting weak signal[J]. Acta Metrologica Sinica, 2000, 21(4): 308-313. (in Chinese) doi: 10.3321/j.issn:1000-1158.2000.04.012 [3] Qu Liang-sheng, Lin Jing. A difference resonator for detecting weak signals[J]. Journal of Measurement, 1999, 26(2): 69-77. [4] Wang Guan-yu. The application of chaotic oscillators to weak signal detection[J]. IEEE Transaction on Industrial Electronics, 1999, 46(2): 1182-1185. [5] Li Yue, Yang BJ, Lu P, et al. Detectingtechnique of weak periodic pulse signal via synthesis of cross-correlation and chaotic system[J]. Journal of Electronics, 2003, 20(5): 397-400. [6] 陈敏, 胡茑庆, 温熙森. 混沌振子在转子系统早期碰摩故障检测中的应用[J]. 国防科技大学学报, 2001, 23(1): 36-39. doi: 10.3969/j.issn.1001-2486.2001.01.009Chen Min, Hu Niao-qing, Wen Xi-sen. The application of chaotic oscillators in early detecting rub-impact fault of rotor system[J]. Journal of National University of Defense Technology, 2001, 23(1): 36-39. (in Chinese) doi: 10.3969/j.issn.1001-2486.2001.01.009 [7] 刘曾荣. 混沌的微扰判据[M]. 上海: 上海科技教育出版社, 1995. [8] 王凤利. 基于局域波法的转子系统非线性动态特性及应用研究[D]. 大连: 大连理工大学, 2003. [9] Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear nonstationary time series analysis[J]. Proceedings of the Royal Society of London, 1998, 454(A): 903-995. [10] 夏松波, 张新江, 刘占生, 等. 旋转机械不对中故障研究综述[J]. 振动、测试与诊断, 1998, 18(3): 157-161. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCS803.000.htmXia Song-bo, Zhang Xin-jiang, Liu Zhan-sheng, et al. A survey of research on misalignment of rotary machinery[J]. Journal of Vibration, Measurement and Diagnosis, 1998, 18(3): 157-161. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCS803.000.htm -
下载:
点击查看大图
图(4)
计量
- 文章访问数: 274
- HTML全文浏览量: 108
- PDF下载量: 595
- 被引次数: 0
