一种基于小波特征熵的液压系统故障信号去噪方法  

Algorithm for Hydraulic System Fault Signal Denoising Based on Wavelet Entropy

作　　者：何德虎[1] 谢建[1] 李良[1] 

机构地区：[1]第二炮兵工程学院,西安710025

出　　处：《噪声与振动控制》2010年第6期171-174,共4页Noise and Vibration Control

摘　　要：针对故障诊断的需要和信号特点,提出一种基于小波特征熵的去噪新方法。该方法基于小波特征熵判断有用信号所在频带,重构所在频带系数,得到去噪信号。将该方法和阈值去噪法应用到液压系统压力信号中,去噪结果证明该方法比阈值去噪法更有效。Aiming at the requirement of fault diagnosis and the signal characteristics,a new de-noising algorithm based on wavelet entropy is proposed.In the algorithm,the frequency band including useful signals is extracted using the wavelet entropy.Then,the coefficient in this frequency band is reconstructed and the de-noising signal is obtained.Both the new algorithm and the threshold de-noising algorithm are used in the pressure signal of hydraulic system.Mutual comparison of the de-noising results of the two algorithms shows that the new algorithm is more valid than the threshold de-noising algorithm.

关 键 词：声学 小波特征熵 液压系统 故障信号 去噪 

分 类 号：TH165.3[机械工程—机械制造及自动化]