【作者】 臧先峰； 张正道； 白瑞林； 彭竹苗；

【Author】 ZANG Xian-feng ZHANG Zheng-dao BAI Rui-lin PENG Zhu-miao School of Communication and Control Engineering,Southern Yangtze University,Wuxi 214122,China.

【机构】 江南大学 通信与控制工程学院；

【摘要】 振荡信号往往包含着系统的动态信息,这些信号对于特征提取和故障诊断是非常有用的,但很多情况下信号的信噪比很低,因而提取系统的特征成分和系统信息的应用较为困难．针对这种情况,运用基于小波分析的降噪方法来提取电信号的故障特征,特征信号的提取是很成功的．更多还原

【Abstract】 The vibration signals of a system always carry the dynamic information of the system.These signals are very useful for the feature extraction and fault diagnosis.However,in many cases,because these signals have very low signal-to-ratio(SNR),it is difficult to extract feature components and the application of information.Therefore, a de-noising method based on wavelet analysis is applied to feature extraction for electrical signals,and the feature sound is extracted successfully.更多还原