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GaussChirplet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GaussChirplet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。
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.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2005年第10期11-16,共6页
Journal of Mechanical Engineering
基金
国家自然科学基金(50375076)国家杰出青年科学基金(50425516)教育部'跨世纪优秀人才培养计划'基金资助项目。
