The Identification of Engine Noise Source Based on Simulink Blind Sources Separation

被引：0
|
作者：
Gao, Junwen [1 ,2 ,3 ]
Quan, Yanming [1 ]
Li, Yongman [4 ]
机构：
[1] SCUT, Sch Mech & Automot Engn, Guangzhou 510640, Peoples R China
[2] Business Polytech Coll, Guangzhou 510507, Guangdong, Peoples R China
[3] Guangdong Agr Ind, Guangzhou 510507, Guangdong, Peoples R China
[4] Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
来源：
MECHATRONICS AND MATERIALS PROCESSING I, PTS 1-3 | 2011年 / 328-330卷
关键词：
Engine noise source; Blind source separation; Mixed signal; Simulink;
D O I：
10.4028/www.scientific.net/AMR.328-330.2134
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
AC algorithm of blind sources has been applied to the identification of engine noise sources. However, the testing platform based on the blind separation theory is difficult to actualize some experiments and obtain data in the real environment, or to obtain these requires high cost. Therefore, this paper proposes a new approach to construct an experimental testing platform-Sinmulink Model so as to identify engine surface noise sources. This model is applied to the test of the experimental data. These experiments demonstrate that Simulink model is efficient to identify engine noise source and the testing data accord with that made by the former platform. It is obvious that Simulink model, to some degree, can be used to replace engine surface noise sources testing platform.
引用
收藏
页码：2134 / +
页数：2
相关论文
共 50 条
  • [1] Engine noise of identification using an improved blind sources separation algorithm
    Lin, Yongman
    Lin, Tusheng
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS, 2007, : 759 - +
  • [2] Blind source separation and identification of engine radiation noise based on independent component analysis and wavelet transform
    Wang, Xia
    Liu, Chang-Wen
    Bi, Feng-Rong
    Du, Xian-Feng
    Shao, Kang
    Neiranji Xuebao/Transactions of CSICE (Chinese Society for Internal Combustion Engines), 2012, 30 (02): : 166 - 171
  • [3] Noise Source Separation based on the Blind Source Separation
    Yang, Yang
    Li, Zuoli
    Wang, Xiuqin
    Zhang, Di
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 2236 - +
  • [4] Study on the noise source identification based on a novel variable step-size algorithm of blind sources separation
    Linke, Zhang
    Lin, He
    Yong, Jiang
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCE AND INFORMATION IN ENGINEERING CONFERENCE, VOL 1, PTS A-C, 2008, : 835 - 839
  • [5] Diagnosis of engine noise failure using blind sources separation technique
    Lin Yongman
    Lin Tusheng
    Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3, 2006, : 958 - 961
  • [6] SEPARATION AND IDENTIFICATION OF DIESEL ENGINE NOISE SOURCES BASED ON ADAPTIVE VARIATIONAL MODE EXTRACTION
    Zhang, Junhong
    Lin, Gengyi
    Li, Xiaozhen
    Zhou, Qidi
    Lin, Jiewei
    PROCEEDINGS OF ASME 2022 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2022, VOL 10, 2022,
  • [7] Noise source separation of diesel engine by combining binaural sound localization method and blind source separation method
    Yao, Jiachi
    Xiang, Yang
    Qian, Sichong
    Li, Shengyang
    Wu, Shaowei
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 96 : 303 - 320
  • [8] Blind source separation with noisy sources
    Serviere, C
    PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS, 1997, : 321 - 325
  • [9] Blind source separation based vibration mode identification
    Zhou, Wenliang
    Chelidze, David
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (08) : 3072 - 3087
  • [10] Multiple acoustic sources location based on blind source separation
    Huang, GM
    Yang, LX
    He, ZY
    ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS, 2005, 3610 : 683 - 687
12345