Feature Estimation of AE Signals caused by Rotating Shaft with Crack Growth
作者单位：Department of Precision and Mechanical EngineeringGyeongsang National University Graduate School
会议名称：《第六届材料与热加工物理模拟及数值模拟国际会议》
会议日期：2010年
学科分类：08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程（可授工学、理学学位）]
基 金：supported by the Ministry of Education Science Technology(MEST) & Korea Institute for Advancement of Technology(KIAT) through the Human Resource Training Project for Regional Innovation(Project No.100121) and Eco-Friendly Heat and Cold Energy Mechanical Research Team of Brain Korea 21
关 键 词：Acoustic Emission Crack Growth Rotating Shaft Wavelet Transform Feature Tendency.
摘 要：Vibration analysis is widely used in machinery diagnosis,and the wavelet transforms and envelope analysis had also been implemented in many applications in the condition monitoring of *** transform is using in researches for detection of the faults in *** are applied for a development of the condition monitoring system for early detection of the faults generated in several key components of *** detection of the faults is a very important factor for condition monitoring and a basic component to extend CBM （Condition-Based Maintenance） to PM （Prediction Maintenance）.And AE （acoustic emission） sensor has a specific characteristic on the high sensitivity of the signal,high frequency and low energy,so recently AE technique is applied in some research papers for the early detection of machine *** this paper,the AE signals caused by the crack growth on the rotating shaft were acquired through AE *** AE signals were preprocessed by wavelet transforms,and then the power spectrums of the frequency domain were generated using the FFT result of *** the power spectrum,some peaks were presented on the several frequencies,and the characteristics considered on the crack growth were found out.