Farfield and nearfield source identification for machine tools using Microphone array imaging systems

被引：3

作者：

Bai, Mingsian R. ^{[1
]}

Chen, Ching-Cheng ^{[1
]}

机构：

[1] Natl Tsing Hua Univ, Dept Power Mech Engn, Hsinchu 30013, Taiwan

来源：

37TH NATIONAL CONFERENCE ON THEORETICAL AND APPLIED MECHANICS (37TH NCTAM 2013) & THE 1ST INTERNATIONAL CONFERENCE ON MECHANICS (1ST ICM) | 2014年 / 79卷

关键词：

Machine tools; Delay-And-Sum; Minimum variance distortionless response; Multiple signal classification and Equivalent source method;

D O I：

10.1016/j.proeng.2014.06.354

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Farfield and nearfield microphone arrays are proposed for noise source identification (NSI) and sound field visualization (SFV). Farfield acoustic imaging algorithms including the delay and sum (DAS) algorithm, the minimum variance distortionless response (MVDR) algorithm and the multiple signal classification (MUSIC) algorithm are employed to estimate direction of arrival (DOA). Results demonstrate that the MUSIC algorithm can attain the highest resolution of localizing sound sources positions. In the nearfield array signal processing, one formulation termed the indirect equivalent source model (ESM)-based nearfield acoustical holography (NAH) is derived from discretizing the simple layer potential. As indicated by the experimental results, the proposed technique proved effective in identifying the noise sources from various machine tools such as milling machine, turning lathe and shearing machine. (C) 2014 Elsevier Ltd.

引用

页码：345 / 354

页数：10

共 50 条

[21] Realtime detection and identification of plural speakers using a microphone array
Ohkado, M
Sawada, H
VECIMS'03: 2003 IEEE INTERNATIONAL SYMPOSIUM ON VIRTUAL ENVIRONMENTS, HUMAN-COMPUTER INTERFACES AND MEASUREMENT SYSTEMS, 2003, : 151 - 156
[22] Improvement of Externalization by Listener and Source Movement Using a "Binauralized" Microphone Array
Hendrickx, Etienne
Stitt, Peter
Messonnier, Jean-Christophe
Lyzwa, Jean-Marc
Katz, Brian F. G.
De Boisheraud, Catherine
JOURNAL OF THE AUDIO ENGINEERING SOCIETY, 2017, 65 (7-8): : 589 - 599
[23] Microphone array source enhancement using subtractive PSD estimation model
Niwa, Kenta
Hioka, Yusuke
Kobayashi, Kazunori
APPLIED ACOUSTICS, 2019, 143 : 239 - 249
[24] Deep Learning for Audio Signal Source Positioning Using Microphone Array
Adanur, Resul
Yesilyurt, Yildiray
Sisman, Cem
Sagir, Selim
Kaya, Ismail
2019 SEVENTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION PROCESSING AND COMMUNICATIONS (ICDIPC 2019), 2019, : 18 - 22
[25] Source Separation in Noisy and Reverberant Environment using Miniature Microphone Array
Li, Shuo
Stanacevic, Milutin
CONFERENCE RECORD OF THE 2014 FORTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2014, : 446 - 449
[26] Automatic Microphone Array Position Calibration Using an Acoustic Sounding Source
Jager, Paul D.
Trinkle, M.
Hashemi-Sakhtsari, Ahmad
ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 2101 - +
[27] New algorithms to improve noise source location using a microphone array
Darvennes, Corinne M.
Bhatt, Tarun K.
American Society of Mechanical Engineers, Noise Control and Acoustics Division (Publication) NCA, 2000, 27 : 325 - 330
[28] Robust sound source localization using a microphone array on a mobile robot
Valin, JM
Michaud, F
Rouat, J
Létourneau, D
IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2003, : 1228 - 1233
[29] Model based abnormal acoustic source detection using a microphone array
Lee, H
Beh, J
Kim, J
Ko, H
AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2005, 3809 : 966 - 969
[30] NEAR-FIELD SOURCE LOCALIZATION USING SPHERICAL MICROPHONE ARRAY
Kumar, Lalan
Singhal, Kushagra
Hegde, Rajesh M.
2014 4TH JOINT WORKSHOP ON HANDS-FREE SPEECH COMMUNICATION AND MICROPHONE ARRAYS (HSCMA), 2014, : 82 - 86

← 1 2 3 4 5 →