Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/350094
Type: Artigo
Title: Simultaneous identification of unbalance and shaft bow in a two-disk rotor based on correlation analysis and the SEREP model order reduction method
Author: Sanches, Fabio Dalmazzo
Pederiva, Robson
Abstract: This paper focuses on a theoretical and experimental identification of two of the most common faults that occur in rotating machines, which exhibit similar problems: unbalance and residual shaft bow. Numerous studies deal with shaft bow, but only a few involve rotors containing many degrees of freedom and the simultaneous occurrence of these two faults. The identification procedure proposed here belongs to the techniques based on the mathematical model of rotors and faults. Finite elements were used to model the rotor, and the faults were identified using an approach based on correlation analysis, which involves only the rotor's responses in the time domain. The System Equivalent Reduction Expansion Process (SEREP) model reduction technique was employed in order to use only the disks' responses and avoid high computational costs. The identification equation derives from the Lyapunov matrix equation of the reduced system model and the fault parameters are identified by least-squares fitting, considering both magnitude and location. Since the shaft bow is considered constant, the faults were identified in two steps, which consider variations in the unbalance parameters: 1) theoretically, considering ten different cases of unbalance and subjected to the same shaft bow, and 2) experimentally, in which the same ten different cases are validated using experimental data from a laboratory test rig. The proposed procedure proved consistent in identifying two faults that occur simultaneously and exhibit similar symptoms
Subject: Correlação (Estatística)
Dinâmica
Country: Reino Unido
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.jsv.2018.07.021
Address: https://www.sciencedirect.com/science/article/pii/S0022460X18304590
Date Issue: 2018
Appears in Collections:FEM - Artigos e Outros Documentos

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