Wavelet packet transform for detection of single events in acoustic emission signals

被引：82
|
作者：
Bianchi, Davide [1 ]
Mayrhofer, Erwin [1 ,2 ]
Groeschl, Martin [2 ]
Betz, Gerhard [2 ]
Vernes, Andras [1 ,2 ]
机构：
[1] AC2T Res GmbH, A-2700 Wiener Neustadt, Austria
[2] Vienna Univ Technol, Inst Appl Phys, A-1040 Vienna, Austria
来源：
MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2015年 / 64-65卷
关键词：
Event detection; Wavelet packet transform; Acoustic emission; Rolling contact fatigue; Rail-wheel contact; ROLLING-CONTACT FATIGUE; RAIL; WEAR; TRACK;
D O I：
10.1016/j.ymssp.2015.04.014
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Acoustic emission signals in tribology can be used for monitoring the state of bodies in contact and relative motion. The recorded signal includes information which can be associated with different events, such as the formation and propagation of cracks, appearance of scratches and so on. One of the major challenges in analyzing these acoustic emission signals is to identify parts of the signal which belong to such an event and discern it from noise. In this contribution, a wavelet packet decomposition within the framework of multiresolution analysis theory is considered to analyze acoustic emission signals to investigate the failure of tribological systems. By applying the wavelet packet transform a method for the extraction of single events in rail contact fatigue test is proposed. The extraction of such events at several stages of the test permits a classification and the analysis of the evolution of cracks in the rail. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码：441 / 451
页数：11
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