摘要
在机械故障的振动信号分析诊断中,故障特征信号的分离和提取是最重要和最关键的步骤之一。针对机械故障振动信号特征周期性和冲击衰减响应特点,论述了自适应滤波、时频滤波、自适应信号分解和信号盲分离等方法,并展望这些方法的发展方向。
The feature extraction and separation of vibration signals from mechanical faults are the most important and key steps in mechanical vibration diagnosis. Briefly reviews the recent research contents involved in the extraction and separation of mechanical vibration periodic and impulse response signals. Several modem signal processing approaches and their applications are discussed. These approaches include adaptive filtering, time- frequency filtering, adaptive signal decomposition and blind signal separation. Some prospects about their development trend are represented.
出处
《煤矿机械》
北大核心
2008年第2期197-199,共3页
Coal Mine Machinery
关键词
机械故障
振动信号
特征分离和提取
信号处理
mechanical fault
vibration signal
feature extraction and separation
signal processing
