Finite Element based Vibration Signature analysis of electrical Propeller Drive System for condition monitoring

Sathyanarayan Rajaram, S. Nadarajan, Viswanathan Vaiyapuri, S. Narasimalu, A. Gupta
{"title":"Finite Element based Vibration Signature analysis of electrical Propeller Drive System for condition monitoring","authors":"Sathyanarayan Rajaram, S. Nadarajan, Viswanathan Vaiyapuri, S. Narasimalu, A. Gupta","doi":"10.1109/CATCON47128.2019.CN0041","DOIUrl":null,"url":null,"abstract":"Any defect in the form of an axial crack or a circular defect in the propeller induces additional component in the centrifugal force and thereby producing an additional vibration characteristic in the propeller. The objective of this paper is to determine the translation of vibration to the permanent magnet synchronous machine (PMSM) which drives the propeller and in turn a triaxial accelerometer is used to detect the faults. A finite element based model is created consisting of the propeller, shaft, bearings and PMSM. The FEA modal analysis is performed to determine the natural frequency of the system and a harmonic response analysis is performed to determine the vibration harmonics at the natural frequency of the system. A comparison of the natural frequencies of the healthy system and the defective systems are obtained along with vibration characteristics for the different profiles and the load dependency of the vibration characteristics. It is observed that the x-axis and z-axis vibrations increase significantly for the defective propeller and it increases with load.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CATCON47128.2019.CN0041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Any defect in the form of an axial crack or a circular defect in the propeller induces additional component in the centrifugal force and thereby producing an additional vibration characteristic in the propeller. The objective of this paper is to determine the translation of vibration to the permanent magnet synchronous machine (PMSM) which drives the propeller and in turn a triaxial accelerometer is used to detect the faults. A finite element based model is created consisting of the propeller, shaft, bearings and PMSM. The FEA modal analysis is performed to determine the natural frequency of the system and a harmonic response analysis is performed to determine the vibration harmonics at the natural frequency of the system. A comparison of the natural frequencies of the healthy system and the defective systems are obtained along with vibration characteristics for the different profiles and the load dependency of the vibration characteristics. It is observed that the x-axis and z-axis vibrations increase significantly for the defective propeller and it increases with load.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于有限元的电动螺旋桨驱动系统状态监测振动特征分析
螺旋桨轴向裂纹或圆形缺陷形式的任何缺陷都会在离心力中引起额外的分量,从而在螺旋桨中产生额外的振动特性。本文的目的是确定振动向驱动螺旋桨的永磁同步电机(PMSM)的传递,然后用三轴加速度计检测故障。建立了由螺旋桨、轴、轴承和永磁同步电机组成的有限元模型。通过有限元模态分析确定了系统的固有频率,通过谐波响应分析确定了系统固有频率处的振动谐波。对健康系统和缺陷系统的固有频率进行了比较,得到了不同剖面的振动特性和振动特性的载荷依赖性。观察到缺陷螺旋桨的x轴和z轴振动显著增加,且随载荷增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Eddy Current and Magneto-Structural Analysis on Transformer Winding with Continuously Transposed Conductors Estimation of Endurance Coefficient of Oil Impregnated Kraft Papers using DEM Effect of filler concentration on breakdown of Isotactic Polypropylene Nano-composites A Novel Autonomous Technique for Early Fault Detection on Overhead Power Lines CATCON 2019 Cover Page
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1