摘要
研究了旋转机械振动信号的特点,指出传统的波形分析和频谱分析存在的问题。提出了从小波包分解序列图和小波包能量分布图两个方面对振动信号分析的方法,赋予小波变换和小波包分解的结果以明确的物理意义,通过测试数据分析旋转机械的三种典型故障在时域、频域及时频域所反映的信息特征,从而表明了该方法的可行性及对故障检测的有效性。
The present work addresses the method of vibration signal analysis of rotating machinery. The general properties of rotating machinery vibration signals are summarized,and pointed out the existing problems of traditional methods of waveform and frequency spectrum analyses. A new method is presented to analyze the signal from diagrams of both wavelet packet decomposition sequence and energy distribution. Wavelet transformation and wavelet packet decomposition are also endowed with specific physical meaning. The information features of three typical faults in time-domain, frequency-domain and time-frequency domain are studied by test data. The new method is proved to be feasible and effective for fault testing of rotating machinery.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2002年第5期484-487,498,共5页
Chinese Journal of Scientific Instrument
关键词
振动信号
旋转机械
小波包分解
故障检测
Rotating machinery Wavelet packet decomposition Fault testing
