Chatter detection in band sawing based on discriminant analysis of sound features

被引：69
|
作者：
Thaler, Tilen [1 ]
Potocnik, Primoz [2 ]
Bric, Ivan [1 ]
Govekar, Edvard [2 ]
机构：
[1] PETRA Machines Doo, Ljubljana 1000, Slovenia
[2] Univ Ljubljana, Fac Mech Engn, Ljubljana 1000, Slovenia
来源：
APPLIED ACOUSTICS | 2014年 / 77卷
关键词：
Band sawing; Chatter detection; Short-Time Fourier Transform; Feature extraction; Discriminant analysis; Cross-validation; AUDIO SIGNAL; ACOUSTIC-EMISSION; VIBRATION CONTROL; STABILITY; MACHINE; SUPPRESSION; PREDICTION; SYSTEM;
D O I：
10.1016/j.apacoust.2012.12.004
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In the paper chatter detection in band sawing is considered as a signal processing and classification problem. A multi-sensory experimental setup was established on an industrial band saw including sound, acceleration and cutting force, and measurements. Based on an experimental analysis sound signal is shown to be the most appropriate for chatter detection, therefore a sound-based online chatter detection method is proposed. The method consists of a sound signal pre-processing with Short-Time Fourier Transform, extraction of features in frequency space with optimal threshold and application of Quadratic Discriminant Analysis for chatter detection. The proposed method tested with twofold cross validation yields over 96% success of chatter detection. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：114 / 121
页数：8
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