Monitoring of Drill Wear State Using Wavelet Packet Decomposition (WPD) and Welch Spectrum

被引：0

作者：

Yang, Xu ^{[1
,2
]}

Kumehara, Hiroyuki ^{[1
]}

Zhang, Wei ^{[2
]}

机构：

[1] Gunma Univ, Fac Engn, Dept Mech Syst Engn, 1-5-1 Tenjin Cho, Kiryu, Gunma 3768515, Japan

[2] Dalian Polytech Univ, Dept Mech Engn, Dalian 116034, Peoples R China

来源：

E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY VII, PTS 1 AND 2 | 2009年 / 16-19卷

关键词：

Cutting torque; Wavelet packet decomposition; Welch spectrum energy; Drill wear state monitoring; TIME; FREQUENCY;

D O I：

10.4028/www.scientific.net/AMM.16-19.105

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper presents a method for drill wear state monitoring based on recognizing the cutting torque signals. It consists of two steps: firstly, decompose cutting torque components from the original signals by Wavelet Packet Decomposition (WPD); secondly, extracting wavelet coefficients of different wear states (i.e., slight, normal, or severe wear) with signal features adapting to Welch spectrum. The experiments on different tool wears of the multivariable features the results of Monitoring are significant and effective.

引用

页码：105 / 109

页数：5

共 11 条

[1] Prediction of drill failure using features extraction in time and frequency domains of feed motor current [J].

Choi, Young Jun ;

Park, Min Soo ;

Chu, Chong Nam .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2008, 48 (01) :29-39

[2] WPTER: wavelet packet transform for efficient pattern recognition of signals [J].

Cocchi, M ;

Seeber, R ;

Ulrici, A .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2001, 57 (02) :97-119

[3]

Kasashima N., 1995, CIRP Annals - Manufacturing Technology, V44, P483

[4] Selection of wavelet packet basis for rotating machinery fault diagnosis [J].

Liu, B .

JOURNAL OF SOUND AND VIBRATION, 2005, 284 (3-5) :567-582

[5] FREQUENCY AND TIME-DOMAIN ANALYSES OF SENSOR SIGNALS IN DRILLING .1. CORRELATION WITH DRILL WEAR [J].

NOORIKHAJAVI, A ;

KOMANDURI, R .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1995, 35 (06) :775-793

[6] Drilling torque control using spindle motor current and its effect on tool wear [J].

Oh, YT ;

Kwon, WT ;

Chu, CN .

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2004, 24 (5-6) :327-334

[7]

Perlibakas V, 2004, INFORMATICA-LITHUAN, V15, P243

[8] Analysis of acoustic emission during drilling test [J].

Quadro, AL ;

Branco, JRT .

SURFACE & COATINGS TECHNOLOGY, 1997, 94-5 (1-3) :691-695

[9] On-line and indirect tool wear monitoring in turning with artificial neural networks: A review of more than a decade of research [J].

Sick, B .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2002, 16 (04) :487-546

[10] USE OF FAST FOURIER TRANSFORM FOR ESTIMATION OF POWER SPECTRA - A METHOD BASED ON TIME AVERAGING OVER SHORT MODIFIED PERIODOGRAMS [J].

WELCH, PD .

IEEE TRANSACTIONS ON AUDIO AND ELECTROACOUSTICS, 1967, AU15 (02) :70-+

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