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

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 proceeding › Conference contribution › peer-review

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 language	English
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
Volume	1
ISBN (Print)	9781510889774
Publication status	Published - 1 Aug 2019
Event	16th International Conference on Condition Monitoring and Asset Management - The Principle Grand Central Hotel, Glasgow, United Kingdom Duration: 25 Jun 2019 → 27 Jun 2019 Conference number: 16 https://www.bindt.org/events/CM2019/ (Conference website. )

Conference

Conference	16th International Conference on Condition Monitoring and Asset Management
Abbreviated title	CM2019
Country/Territory	United Kingdom
City	Glasgow
Period	25/06/19 → 27/06/19
Internet address	https://www.bindt.org/events/CM2019/ (Conference website. )

Cite this

@inproceedings{01f1679e5f294ceea3abf56308626818,

title = "Random vibration of a finite element rotor model with crack fault via polynomial chaos expansion",

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.",

keywords = "cracks, crack detection, breathing crack",

author = "Chao Fu and Yongfeng Yang and Yanlin Wang and Fengshou Gu and Andrew Ball",

year = "2019",

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publisher = "British Institute of Non-Destructive Testing",

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note = "16th International Conference on Condition Monitoring and Asset Management, CM2019 ; Conference date: 25-06-2019 Through 27-06-2019",

url = "https://www.bindt.org/events/CM2019/",

}

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, 16th International Conference on Condition Monitoring and Asset Management, Glasgow, United Kingdom, 25/06/19.

Random vibration of a finite element rotor model with crack fault via polynomial chaos expansion. / Fu, Chao; Yang, Yongfeng; Wang, Yanlin et al.

16th International Conference on Condition Monitoring and Asset Management: CM 2019. Vol. 1 British Institute of Non-Destructive Testing, 2019. 107.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Random vibration of a finite element rotor model with crack fault via polynomial chaos expansion

AU - Fu, Chao

AU - Yang, Yongfeng

AU - Wang, Yanlin

AU - Gu, Fengshou

AU - Ball, Andrew

N1 - Conference code: 16

PY - 2019/8/1

Y1 - 2019/8/1

N2 - 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.

AB - 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.

KW - cracks

KW - crack detection

KW - breathing crack

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Y2 - 25 June 2019 through 27 June 2019

ER -

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

Abstract

Conference

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