Separation of Noise and Signals by Independent Component Analysis

被引：0

作者：

Omatu, Sigeru ^{[1
]}

Fujimura, Masao ^{[1
]}

Kosaka, Toshihisa ^{[2
]}

机构：

[1] Osaka Inst Tecnol, Asahi Ku, Osaka, Osaka 5358585, Japan

[2] Glory Ltd, Himeji, Hyogo, Japan

来源：

PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON ADVANCED ENGINEERING COMPUTING AND APPLICATIONS IN SCIENCES (ADVCOMP 2010) | 2010年

关键词：

signal separation; independent component analysis; neural networks;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A separation problem of acoustic signals and noise by using the independent component analysis (ICA) with bandpass filters is proposed. The frequency distribution of a recorded acoustic signal of the operating mechanical device can be divided into three fields, the low-frequency field, which corresponds to the frequency characteristics of the gear, the medium-frequency field, which is mixed with the frequency characteristics of the gear and the motor, and the high-frequency field, which corresponds to the frequency characteristics of the motor. Since only the mediumfrequency components are the mixture of acoustic signals of gears and motors, the ICA with band-pass filters is expected to separate the acoustic signals of motors and gears more accurately than the conventional ICA. The simulation and experimental results show that the proposed method can separate the acoustic signals of motors and gears of mechanical devices successfully.

引用

页码：105 / 110

页数：6