Signal Processing Method (HT and HHT) of AE for Complex Fault Detection

被引：0

作者：

Ha, Jeong-Min ^{[1
]}

Lee, Jong-Myeong ^{[1
]}

Lee, Jeong-Hoon ^{[1
]}

Gu, Dong-Sik ^{[2
]}

Choi, Byeong Keun ^{[1
]}

机构：

[1] Gyeongsang Natl Univ, Dept Energy & Mech Engn, Tongyeong City, South Korea

[2] Changwon Moonsung Univ, Dept Ship Bldg & Marine Engn, Chang Won, South Korea

来源：

PHYSICAL AND NUMERICAL SIMULATION OF MATERIALS PROCESSING VII | 2013年 / 762卷

关键词：

acoustic emission; complex defects; bearings; signal processing;

D O I：

10.4028/www.scientific.net/MSF.762.656

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In the signal processing method, envelope analysis is a useful method to evaluate the rolling element bearing problems and Wavelet transform is a powerful method to detect faults occurred on gearboxes. However, exact method for AE signal is not developed yet. Therefore, in this paper, two methods, which are Hilbert Transform (HT) and Hilbert-Huang transforms (HHT), will be compared for development a signal processing method for early fault detection system by using AE. HHT has better advantages than HT because HHT can show the time-frequency domain result. But, HHT needs long time to process a signal, which has a lot of data, and has a disadvantage in de-noising filter.

引用

页码：656 / +

页数：2

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