噪声与振动控制2017，Vol.37Issue(1)：149-151,3.DOI:10.3969/j.issn.1006-1335.2017.01.032
基于偏度的滚动轴承声信号故障分析方法
The Fault Diagnosis Method of Rolling Bearings based on Sound Signal Skewness
摘要
Abstract
In order to directly and rapidly diagnose bearing's faults with avoiding the disturbance of the load and speed of the beatings,the sound signal skewness is chosen as the parameter for time domain analysis.First of all,the sound signal is changed into its absolute value to remove its symmetry so that the skewness can be used for fault diagnosis.Then,according to the feature of normal distribution,the reference range of the skewness values of healthy bearings is obtained.Finally,through the analysis of the simulation signal,the fitting curve between the skewness and the signal-to-noise ratio (SNR) is obtained and used for preliminary judgment of the severity of the beating's faults.The experimental results show that the skewness can be used to accurately diagnose the beating's faults and judge the severity of the bearing's faults.关键词
振动与波/偏度/正态分布/时域分析Key words
vibration and wave/skewness/normal distribution/time domain analysis分类
机械制造引用本文复制引用
赵佳萌..基于偏度的滚动轴承声信号故障分析方法[J].噪声与振动控制,2017,37(1):149-151,3.
