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Crack Parameters Identification Based on a Kriging Surrogate Model for Operating Rotors
Joint Authors
Dong, Dawei
Hua, Chunrong
Wang, Danyang
He, Biao
Lu, Zhiwen
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-08
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Parameters identification of cracked rotors has been gaining importance in recent years, but it is still a great challenge to determine the crack parameters including crack location, depth, and angle for operating rotors.
This work proposes a new method to identify crack parameters in a rotor-bearing system based on a Kriging surrogate model and an improved nondominated sorting genetic algorithm-III (NSGA-III).
A rotor-bearing system with a breathing crack is established by the finite element method and the superharmonic components are used as index to detect the cracks, the Kriging surrogate model between crack parameters and the superharmonic component amplitudes of the vibration response for rotors are constructed, and an improved NSGA-III is proposed to obtain the optimal crack parameters.
Numerical experiments show that the proposed method can identify the crack location, depth, and angle accurately and efficiently for operating rotors.
American Psychological Association (APA)
Wang, Danyang& Hua, Chunrong& Dong, Dawei& He, Biao& Lu, Zhiwen. 2018. Crack Parameters Identification Based on a Kriging Surrogate Model for Operating Rotors. Shock and Vibration،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215544
Modern Language Association (MLA)
Wang, Danyang…[et al.]. Crack Parameters Identification Based on a Kriging Surrogate Model for Operating Rotors. Shock and Vibration No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1215544
American Medical Association (AMA)
Wang, Danyang& Hua, Chunrong& Dong, Dawei& He, Biao& Lu, Zhiwen. Crack Parameters Identification Based on a Kriging Surrogate Model for Operating Rotors. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215544
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215544