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

被引：84

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

页码：441 / 451

页数：11

共 23 条

[1]

Abbaszadeh K, 2002, IEEE IND APPLIC SOC, P478, DOI 10.1109/IAS.2002.1044129

[2] Wheel-flat diagnostic tool via wavelet transform [J].

Belotti, Vittorio ;

Crenna, Francesco ;

Michelini, Rinaldo C. ;

Rossi, Giovanni B. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2006, 20 (08) :1953-1966

[3] Rail inspection in track maintenance: A benchmark between the wavelet approach and the more conventional Fourier analysis [J].

Caprioli, A. ;

Cigada, A. ;

Raveglia, D. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (02) :631-652

[4]

Coifman R. R., 1992, Wavelets and Their Applications, P153

[5]

Coifman R.R., NATO ASI SERIES, V442

[6] ENTROPY-BASED ALGORITHMS FOR BEST BASIS SELECTION [J].

COIFMAN, RR ;

WICKERHAUSER, MV .

IEEE TRANSACTIONS ON INFORMATION THEORY, 1992, 38 (02) :713-718

[7] ORTHONORMAL BASES OF COMPACTLY SUPPORTED WAVELETS [J].

DAUBECHIES, I .

COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 1988, 41 (07) :909-996

[8] A method for the prediction of head checking initiation location and orientation under operational loading conditions [J].

Dollevoet, R. ;

Li, Z. ;

Arias-Cuevas, O. .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2010, 224 (F5) :369-374

[9]

Donoho D. L., 1994, Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Engineering Advances: New Opportunities for Biomedical Engineers (Cat. No.94CH3474-4), pA24, DOI 10.1109/IEMBS.1994.412133

[10]

Donoho DL, 1996, ANN STAT, V24, P508

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