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 |
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Title of host publication | Advances in Asset Management and Condition Monitoring, COMADEM 2019 |
Editors | Andrew Ball, Len Gelman, B.K.N. Rao |
Publisher | Springer, Cham |
Pages | 1105-1113 |
Number of pages | 9 |
Volume | 166 |
ISBN (Electronic) | 9783030577452 |
ISBN (Print) | 9783030577445 |
DOIs | |
Publication status | Published - 28 Aug 2020 |
Event | 32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom Duration: 3 Sep 2019 → 5 Sep 2019 Conference number: 32 http://www.comadem2019.com/ (Link to Conference Website) |
Publication series
Name | Smart Innovation, Systems and Technologies |
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Publisher | Springer |
Volume | 166 |
ISSN (Print) | 2190-3018 |
ISSN (Electronic) | 2190-3026 |
Conference
Conference | 32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference |
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Abbreviated title | COMADEM 2019 |
Country/Territory | United Kingdom |
City | Huddersfield |
Period | 3/09/19 → 5/09/19 |
Internet address |
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