Random vibration of a finite element rotor model with crack fault via polynomial chaos expansion

Chao Fu, Yongfeng Yang, Yanlin Wang, Fengshou Gu, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to long duty hours and stress cycling, crack fault often occurs in rotating shafts. On the other hand, uncertain factors are common in engineering mechanical systems. These uncertainties may have critical influences on the dynamics of the system and the crack fault will be more difficult to accurately detect. In this article, a finite element cracked rotating shaft model is studied considering uncertain factors and the Polynomial Chaos Expansion method is used to quantify their effects on the random vibration of the model. The stiffness of the elastic shaft and the imbalance force are taken as random parameters. Numerical results with different cases are presented. It can provide useful guidance for robust crack fault diagnosis.
Original languageEnglish
Title of host publication16th International Conference on Condition Monitoring and Asset Management
Subtitle of host publicationCM 2019
PublisherBritish Institute of Non-Destructive Testing
Volume1
ISBN (Print)9781510889774
Publication statusPublished - 1 Aug 2019
EventSixteenth International Conference on Condition Monitoring and Asset Management - Glasgow, United Kingdom
Duration: 25 Jun 201927 Jun 2019
Conference number: 16
https://www.bindt.org/events/CM2019/ (Conference website. )

Conference

ConferenceSixteenth International Conference on Condition Monitoring and Asset Management
Abbreviated titleCM 2019
CountryUnited Kingdom
CityGlasgow
Period25/06/1927/06/19
Internet address

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Fu, C., Yang, Y., Wang, Y., Gu, F., & Ball, A. (2019). Random vibration of a finite element rotor model with crack fault via polynomial chaos expansion. In 16th International Conference on Condition Monitoring and Asset Management: CM 2019 (Vol. 1). [107] British Institute of Non-Destructive Testing.