A method for extracting transient signal based on the probability density of extreme points and auditory model
LI Yungong1 ZHANG Jinping2 DAI Li
1. School of Mechanical Engineering & Automation, Northea stern University, Shengyang 110819, China
2.School of Mechanical Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China
Transient vibration signal is usually induced by the impact between mechanical parts. Then it is significant for recognition of mechanical fault to find and extract transient signal. Considering that the human auditory system is instinctively sensitive to a burst of sound, a method of transient signal extraction based on the operation mechanism of auditory system is proposed. An important feature is pointed put that there is some fluctuates with small amplitude in the probability density curve of the amplitude of extreme point of signal, then this feature and the continuity of frequency band and onset synchronism are the cues for extracting transient signal. Based on these cues, the band-pass filtering with gammatone filters, phase adjustment and extreme points extraction are implemented at first. Based on the extreme points, the amplitude probability density is calculated to judge whether there exists a transient component in a filter signal. According to the judgment result, those extreme points that may be related to transient component are extracted. However for the effect of noise and background signal, in the above extraction result, some points don’t belong to transient signal. Therefore, these points are divided into four categories and the corresponding screening methods are designed. At last, the transient signal is recovered by using extreme points after screening. The results of numerical simulation and measured signal test show that the proposed method is effective, especially can extract transient signal with strong noise and background.
李允公1 张金萍2 戴丽1. 基于极值点概率密度和听觉模型的瞬态信号提取方法研究[J]. 振动与冲击, 2015, 34(21): 37-44.
LI Yungong1 ZHANG Jinping2 DAI Li. A method for extracting transient signal based on the probability density of extreme points and auditory model. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(21): 37-44.
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