Application of Frequency-Domain Blind Deconvolution in Mechanical Fault Detection

被引：2

作者：

Pan, Nan ^{[1
]}

Wu, Xing ^{[1
]}

Chi, Yilin ^{[1
]}

Liu, Chang ^{[1
]}

Liu, Xiaoqin ^{[1
]}

机构：

[1] Kunming Univ Sci & Technol, Fac Mech & Elect Engn, Kunming 650093, Peoples R China

来源：

MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5 | 2012年 / 130-134卷

关键词：

Frequency-Domain Blind Deconvolution; Fault Detection; Complex-Domain FastICA; Vibration Signal Processing;

D O I：

10.4028/www.scientific.net/AMM.130-134.2128

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

On the basis of summing up the Frequency-Domain Blind Deconvolution (FDBD), a method combine Complex-Domain FastICA algorithm and amplitude correlation was proposed to extract the typical defect signals from mechanical equipment. The application in combined failure rolling bearing acceleration signals demonstrate that, comparing with the existing Time-Domain Blind Signal Processing methods, FDBD has more advantages and better prospects in mechanical fault detection.

引用

页码：2128 / 2132

页数：5

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