旋转机械振动信号的小波包分解及故障检测  

Wavelet Packets Decompose of Vibration Signal for Rotating Machinery and Its Fault Testing

作　　者：万军[1] 蒋世祥[1] 蔡智勇[1] 

机构地区：[1]浙江大学

出　　处：《汽轮机技术》2002年第2期95-97,共3页Turbine Technology

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 ,实验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 rotary machinery. Having investigated the characteristics of the signal and pointed out the existing problems of traditional methods of waveform and frequency spectrum analysis, a new method is presented to analyze the signal from diagrams of both wavelet packets decompose sequence and energy distribution. Wavelet transformation and wavelet packets decompose are also endowed with specific physical meaning. The new method is proved to be feasible and effective for fault testing of rotating machinery.

关 键 词：旋转机械 振动信号 小波包分解 故障检测 

分 类 号：TH133[机械工程—机械制造及自动化] TP206.3[自动化与计算机技术—检测技术与自动化装置]