• CN:11-2187/TH
  • ISSN:0577-6686

›› 2005, Vol. 41 ›› Issue (10): 11-16.

• 论文 • 上一篇    下一篇

基于Chirplet变换的水轮机非平稳振动信号分析

冯志鹏;褚福磊   

  1. 清华大学精密仪器与机械学系
  • 发布日期:2005-10-15

NONSTATIONARY VIBRATION SIGNAL ANALYSIS OF HYDROTURBINE VIA CHIRPLET TRANSFORM

Feng Zhipeng;Chu Fulei   

  1. Department of Precision Instruments and Mechanology, Tsinghua University
  • Published:2005-10-15

摘要: 首先应用调制移频和多采样率转换技术对水轮机过渡过程中的非平稳振动信号进行预处理,然后应用基于Chirplet的自适应信号分解方法和自适应Gauss Chirplet谱图对其进行时频分析。针对旋转机械的振动特点,改进了自适应Chirplet信号分解过程中Chirplet参数优化计算方法。分析结果与其他时频分析方法的对比表明:自适应Gauss Chirplet谱图时频分辨率高,而且没有交叉项干扰,适合于分析非平稳机械振动信号。

关键词: Chirplet变换, 非平稳信号, 过渡过程, 时频分析, 水轮机, 自适应信号分解

Abstract: The nonstationary vibration signal of a hydroturbine rotor is pre-processed by means of frequency modulation and multi-rate filter banks firstly, and then is analyzed based on adaptive Chirplet decomposition and adaptive Gaussian Chirplet spectrogram. The optimization of the Chirplet parameters is modified according to the vibration characteristics of rotating machinery. Compared with the other time-frequency analysis methods, it is demonstrated that the adaptive Gaussian Chirplet spectrogram features high time-frequency resolution, immunity of cross term interference, and applicability to analysis of nonstationary vibration signal.

Key words: Adaptive signal decomposition, Chirplet transform, Hydroturbine, Nonstationary signal, Time-frequency analysis, Transients

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