机械故障振动信号特征分离和提取的信号处理方法  

Signal Processing Approaches to Feature Extraction and Separation of Vibration Signal From Mechanical Faults

作　　者：陈婀娜[1] 

机构地区：[1]贵州师范大学机电工程学院,贵阳550014

出　　处：《煤矿机械》2008年第2期197-199,共3页Coal Mine Machinery

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.

关 键 词：机械故障 振动信号 特征分离和提取 信号处理 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]