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author：

Xu, Chen (Xu, Chen.) [1] | Xiangming, Meng (Xiangming, Meng.) [2] | Qinghong, Gong (Qinghong, Gong.) [3] | Hui, Huang (Hui, Huang.) [4] | Shumei, Chen (Shumei, Chen.) [5] | Heng, Du (Heng, Du.) [6] | Yuzheng, Li (Yuzheng, Li.) [7] | Xiufang, Lin (Xiufang, Lin.) [8]

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EI Scopus

Abstract：

The　hydraulic　motor　will　generate　noise　in　operation　and　it　has　fluid-structure　coupling　and　compact　internal　structure.　The　sound　intensity　measurement　is　difficult　to　distinguish　the　noise　sources　of　motor.　In　this　paper,　a　high-precision　localization　method　for　noise　sources　of　bent-axis　motor　is　studied　to　improve　the　resolution　of　the　sound　intensity　images　to　locate　noise　sources　accurately.　Firstly,　the　structural　characteristics　of　the　motor　are　analyzed,　and　the　sound　intensity　images　are　obtained　through　the　experiment.　Then　the　high-resolution　optimization　method　based　on　compressed　sensing　is　designed　according　to　the　characteristics　of　the　sound　intensity　field.　Finally,　the　sound　intensity　images　with　high　resolution　are　constructed.　The　high-resolution　images　can　distinguish　the　position　of　the　prominent　points,　and　the　error　is　less　than　0.4 dB.　The　identification　distance　of　noise　sources　can　reach　30 mm,　and　it　breaks　through　the　highest　resolution　of　the　traditional　sound　intensity　test.　©　The　Author(s)　2023.

Keyword：

Acoustic intensity Acoustic noise Compressed sensing Fluid structure interaction Hydraulic motors Image enhancement

Community：

  • [ 1 ] [Xu, Chen]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Xu, Chen]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 3 ] [Xiangming, Meng]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Xiangming, Meng]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 5 ] [Qinghong, Gong]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 6 ] [Qinghong, Gong]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 7 ] [Hui, Huang]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 8 ] [Hui, Huang]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 9 ] [Shumei, Chen]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 10 ] [Shumei, Chen]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 11 ] [Heng, Du]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 12 ] [Heng, Du]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 13 ] [Yuzheng, Li]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 14 ] [Yuzheng, Li]Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, Fuzhou University, Fuzhou, China
  • [ 15 ] [Xiufang, Lin]College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China

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Source ：

Noise and Vibration Worldwide

ISSN： 0957-4565

Year： 2023

Issue： 7-8

Volume： 54

Page： 350-359

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 1

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 0

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