Prediction of Automobile Wiper Motor Noise Based on Support Vector Machine with Vibration Sensors

Author:

Li Haiqing12ORCID,Cui Zhanhao2,Wu Yudong2ORCID,Ren Xiaguang2,Zhao Ting2

Affiliation:

1. Liuzhou Vocational and Technical College, Liuzhou 545006, China

2. National Laboratory for Rail Transportation, Southwest Jiaotong University, Chengdu 610031, China

Abstract

Wiper motor noise has an important impact on vehicle comfort. Accurate prediction of wiper motor noise can obtain motor NVH performance in motor manufacturing or earlier stage and provide necessary support for NVH performance design of parts and vehicles. However, the prediction accuracy of wiper motor noise by the traditional CAE or testing method is low. Data-driven technology provides a new idea for wiper motor noise prediction with its advantages of high efficiency and high precision. This paper studies the wiper motor noise prediction algorithm based on the motor vibration signal, respectively, using the transmission path analysis theory and the support vector machine theory, and carries on the test verification and comparative analysis of the effect. The results show that the method based on support vector machine is more accurate in the prediction of wiper motor noise and has higher practical engineering value.

Funder

Research Basic Ability Improvement Project of Young and Middle-Aged College Teachers in Guangxi

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Reference25 articles.

1. Noise test analysis and optimization of automobile wipers;W. C. Mu Wen;Car Practical Technology,2017

2. Fault analysis of wiper DC motor based on time-frequency analysis;K. H. Yang;Mechanical Engineering and Automation,2011

3. Analysis of Friction Noise and Vibration from the Cushion Frame of a Driver's Seat in Passenger Cars

4. Research on electromagnetic vibration and noise prediction for vehicle alternators;R. X. Zhao,2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3