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.
|Title of host publication||16th International Conference on Condition Monitoring and Asset Management|
|Subtitle of host publication||CM 2019|
|Publisher||British Institute of Non-Destructive Testing|
|Publication status||Published - 1 Aug 2019|
|Event||Sixteenth International Conference on Condition Monitoring and Asset Management - Glasgow, United Kingdom|
Duration: 25 Jun 2019 → 27 Jun 2019
Conference number: 16
https://www.bindt.org/events/CM2019/ (Conference website. )
|Conference||Sixteenth International Conference on Condition Monitoring and Asset Management|
|Abbreviated title||CM 2019|
|Period||25/06/19 → 27/06/19|
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).  British Institute of Non-Destructive Testing.