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Noise source identification for industrial sewing machines based on non-linear partial least squares regression model

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成果类型:
期刊论文
作者:
Zhang, Zhi-yong*;Liu, Xin;Huang, Cai-xia;Pan, Da
通讯作者:
Zhang, Zhi-yong
作者机构:
[Pan, Da; Zhang, Zhi-yong; Liu, Xin] Changsha Univ Sci & Technol, Coll Automot & Mech Engn, 960,2nd Sect,Wanjiali South Rd, Changsha 410114, Hunan, Peoples R China.
[Zhang, Zhi-yong; Huang, Cai-xia] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha, Hunan, Peoples R China.
通讯机构:
[Zhang, Zhi-yong] C
Changsha Univ Sci & Technol, Coll Automot & Mech Engn, 960,2nd Sect,Wanjiali South Rd, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Noise source identification;vibro-acoustic regression model;non-linear partial least squares;kernel function transform;industrial sewing machine
期刊:
Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science
ISSN:
0954-4062
年:
2016
卷:
230
期:
16
页码:
2817-2827
基金类别:
Hunan Provincial Natural Science Foundation of ChinaNatural Science Foundation of Hunan Province [2015JJ2002]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51305047]; State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body [31215003]
机构署名:
本校为第一且通讯机构
院系归属:
汽车与机械工程学院
摘要:
This paper introduces an application of non-linear partial least squares for vibro-acoustic regression modeling and for an industrial sewing machine. In the vibro-acoustic regression model, the vibration accelerations of reference points are defined as explanatory variables, while the noise sound pressure of target points is defined as response variables, and the number of explanatory variables is determined initially by a correlation analysis in the time domain. To improve predictive accuracy while a non-linear relationship exists between the explanatory and response variables, the explanator...

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