基于模糊熵和包络分析的滚动轴承故障特征提取

Application of Fuzzy Entropy and Envelope Analysis in Fault Diagnosis of Rolling Bearing

提出了一种基于模糊熵和包络分析的故障特征提取新方法。这种方法的核心是首先使用包络分析把调制的振动信号进行解调,然后计算并比较这些包络信号的模糊熵,从而实现故障的特征提取。研究表明,用这种方法提取信号特征,可以容易地将正常滚动轴承、内圈故障、外圈故障和滚子故障的信号区分。

In this paper a new method of pattern recognition based on fuzzy entropy and envelope analysis is presented.The core of this new method is to demodulate vibration signal by envelope analysis firstly.Then the fuzzy entropy of the envelope signals are computed and compared.The study shows this new method could discriminate between the normal and the three fault signals distinctly.