Crack localization in stepped rotors based on Bayesian fusion of multiscale superharmonic characteristic deflection shapes

Lu, Z, Cao, S, Ouyang, H ORCID: 0000-0003-0312-0326, Yuan, R and Lv, Y (2020) Crack localization in stepped rotors based on Bayesian fusion of multiscale superharmonic characteristic deflection shapes. Fatigue and Fracture of Engineering Materials and Structures, 43 (10). pp. 2200-2213.

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Official URL: http://dx.doi.org/10.1111/ffe.13237

Abstract

© 2020 Wiley Publishing Ltd. A crack is one of the most dangerous faults in rotors of key rotating machinery. In order to make reasonable maintenance, crack localization for rotors under operational conditions is very important and full of challenges. Focusing on crack localization in rotating rotors, a new crack localization method for stepped rotors based on Bayesian fusion of multiscale superharmonic characteristic deflection shapes (SCDSs) is proposed. The non-linearity induced by cracks is utilized to eliminate the interference of stiffness reduction by steps in the rotor, and the noise-robustness issue is tackled by casting the SCDSs into multiscale SCDSs with multiscale space theory. Moreover, Bayesian fusion is applied to the multiscale SCDSs to derive a new damage index to localize cracks. Numerical and experimental investigations are conducted to validate the proposed method. The results indicate that the proposed method is effective, accurate and robust for single or multiple crack localization in stepped rotors, and thus, it has a great potential in practical applications.

Item Type:	Article
Depositing User:	Symplectic Admin
Date Deposited:	12 Jun 2020 08:43
Last Modified:	18 Jan 2023 23:49
DOI:	10.1111/ffe.13237
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3090073