Evaluation of the use of envelope analysis and DWT on AE signals generated from degrading shafts

被引：17

作者：

Gu, Dongsik ^{[3
]}

Kim, Jaegu ^{[2
]}

Kelimu, Tulugan ^{[2
]}

Huh, Sun-Chul ^{[1
]}

Choi, Byeong-Keun ^{[1
]}

机构：

[1] Gyeongsang Natl Univ, Dept Energy & Mech Engn, Inst Marine Ind, Tongyeong 640160, Gyeongnamdo, South Korea

[2] Gyeongsang Natl Univ, Dept Precis & Mech Engn, Grad Sch, Tongyeong 640160, Gyeongnamdo, South Korea

[3] Changwon Moonsung Univ, Div Shipbldg Prod, Chang Won 641771, Gyeongnamdo, South Korea

来源：

MATERIALS SCIENCE AND ENGINEERING B-ADVANCED FUNCTIONAL SOLID-STATE MATERIALS | 2012年 / 177卷 / 19期

基金：

新加坡国家研究基金会;

关键词：

Acoustic emission; Crack growth; Condition monitoring; Non-destructive testing; SPEED ROTATING MACHINERY; ACOUSTIC-EMISSION;

D O I：

10.1016/j.mseb.2012.03.001

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Vibration analysis is widely used in machinery diagnosis. Wavelet transforms and envelope analysis, which have been implemented in many applications in the condition monitoring of machinery, are applied in the development of a condition monitoring system for early detection of faults generated in several key components of machinery. Early fault detection is a very important factor in condition monitoring and a basic component for the application of condition-based maintenance (CBM) and predictive maintenance (PM). In addition, acoustic emission (AE) sensors have specific characteristics that are highly sensitive to high-frequency and low-energy signals. Therefore, the AE technique has been applied recently in studies on the early detection of failure. In this paper, AE signals caused by crack growth on a rotating shaft were captured through an AE sensor. The AE signatures were pre-processed using the proposed signal processing method, after which power spectrums were generated from the FFT results. In the power spectrum, some peaks from fault frequencies were presented. According to the results, crack growth in rotating machinery can be considered and detected using an AE sensor and the signal processing method. (c) 2012 Elsevier B.V. All rights reserved.

引用

页码：1683 / 1690

页数：8

共 17 条

[1]

[Anonymous], 2006, PCI 2 BAS SYST US MA

[2]

[Anonymous], Probability, Random Variables and Stochastic Processes

[3]

Elfojani M., 2001, NONDESTRUCT TEST EVA, V25, P267

[4] Condition Monitoring of Slow-Speed Shafts and Bearings with Acoustic Emission [J].