A novel application of Lucy-Richardson deconvolution: bearing fault diagnosis

被引：11

作者：

Raj, A. Santhana ^{[1
]}

Murali, N. ^{[1
]}

机构：

[1] Govt India, Real Time Syst Div, Indira Gandhi Ctr Atom Res, Kalpakkam, Tamil Nadu, India

来源：

JOURNAL OF VIBRATION AND CONTROL | 2015年 / 21卷 / 06期

关键词：

Bearing fault; deconvolution; fault detection; Lucy-Richardson Algorithm; multiple signal classification; signal processing algorithms; WAVELET TRANSFORM; ENHANCEMENT;

D O I：

10.1177/1077546313492364

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The main hindrance in easy detection of bearing faults from vibration data is that the signal is noise ridden, and only an efficient method for noise reduction will effectively bring out the fault characteristics. This paper proposes a novel method for such noise reduction using Lucy-Richardson deconvolution, which is an iterative technique for deblurring images. Its application in signal processing more specially in bearing fault diagnosis is being studied in this paper. The characteristics of this deconvolution with different shapes of point spread function and their effectiveness are also shown.

引用

页码：1055 / 1067

页数：13

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