摘要
本文采用经验模式分解 (EMD)与小波变换相结合的方法分析非平稳机械故障信号的奇异性 ,进行机械故障诊断。与直接对原信号进行小波分析相比较 ,该方法提取的奇异性特征明显。数值模拟和对故障轴承的振动信号分析表明了该方法的有效性。
In this paper the EMD (empirical mode decomp os ition) method and wavelet transform method are used in combination to detect the singularity of non stationary signals from a faulty machine. Based on the dete cted singularity the fault can be diagnosed. The singularity character extracted by using this method is clearer than by using the wavelet transform method alon e. The numerical simulation and the analysis of the vibration signal from the be aring trouble show that this method is effective.
出处
《青岛海洋大学学报（自然科学版）》
CSCD
北大核心
2003年第5期759-763,共5页
Journal of Ocean University of Qingdao
基金
青岛市科委课题"多自由度减振系统的研究"资助
