Methodology to improve mode identification and modal parameter extraction for rotor dynamic analysis

This work presents the development of a methodology that, through the use of the coordinate transformation method, identifies the ideal modal parameters that should be used during the modal balancing process as well as allows eliminating the computational modes generated during the rotor response di...

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Main Authors: Rafael Alfonso Figueroa Díaz, J. E. Aguirre Romano, A. Balvantín García, P. Cruz Alcantar
Format: Article
Language:English
Published: JVE International 2017-06-01
Series:Journal of Vibroengineering
Subjects:
Online Access:https://www.jvejournals.com/article/17818
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spelling doaj-7a11e8a6cd5c4bdc86acebc3184063c62020-11-24T21:42:04ZengJVE InternationalJournal of Vibroengineering1392-87162538-84602017-06-011942806282110.21595/jve.2017.1781817818Methodology to improve mode identification and modal parameter extraction for rotor dynamic analysisRafael Alfonso Figueroa Díaz0J. E. Aguirre Romano1A. Balvantín García2P. Cruz Alcantar3Sonora Institute of Technology, Department of Electrical and Electronic Engineering, 5 De Febrero 818 Sur, Centro, Cd Obregón, Sonora, CP 85000, MexicoElectric Research Institute, Cuernavaca, Morelos, MexicoUniversity of Guanajuato, Department of Mechanical Engineering, Guanajuato, MéxicoThe Autonomous University of San Luis Potosí, Department of Mechanical Engineering, San Luis Potosí, MéxicoThis work presents the development of a methodology that, through the use of the coordinate transformation method, identifies the ideal modal parameters that should be used during the modal balancing process as well as allows eliminating the computational modes generated during the rotor response diagram extraction process. There is currently a wide variety of methods for structures that allow extracting limited modal parameters, such as: previous knowledge of the number of modes, adjustment of computational or spurious modes, close mode identification problems, and others. However, localizing the phase angle in rotation systems in any angular position and through complex coupling of the vibration modes does not ensure that the methods developed for structures conserve the same performance during the adjustment process. As regards the line of investigation into modal balancing, a method is proposed that allows ensuring that the modes found are real modes of the system and that through direction tracking where a single vibration mode is excited, the optimum extraction position of the modal parameters used in the balancing process can be determined. The proposed methodology was developed using a linear model and was applied in a field turbogenerator to identify the vibration modes present in the response diagrams.https://www.jvejournals.com/article/17818modal balancingoptimum modal parametersrotation systemsresponse diagrams
collection DOAJ
language English
format Article
sources DOAJ
author Rafael Alfonso Figueroa Díaz
J. E. Aguirre Romano
A. Balvantín García
P. Cruz Alcantar
spellingShingle Rafael Alfonso Figueroa Díaz
J. E. Aguirre Romano
A. Balvantín García
P. Cruz Alcantar
Methodology to improve mode identification and modal parameter extraction for rotor dynamic analysis
Journal of Vibroengineering
modal balancing
optimum modal parameters
rotation systems
response diagrams
author_facet Rafael Alfonso Figueroa Díaz
J. E. Aguirre Romano
A. Balvantín García
P. Cruz Alcantar
author_sort Rafael Alfonso Figueroa Díaz
title Methodology to improve mode identification and modal parameter extraction for rotor dynamic analysis
title_short Methodology to improve mode identification and modal parameter extraction for rotor dynamic analysis
title_full Methodology to improve mode identification and modal parameter extraction for rotor dynamic analysis
title_fullStr Methodology to improve mode identification and modal parameter extraction for rotor dynamic analysis
title_full_unstemmed Methodology to improve mode identification and modal parameter extraction for rotor dynamic analysis
title_sort methodology to improve mode identification and modal parameter extraction for rotor dynamic analysis
publisher JVE International
series Journal of Vibroengineering
issn 1392-8716
2538-8460
publishDate 2017-06-01
description This work presents the development of a methodology that, through the use of the coordinate transformation method, identifies the ideal modal parameters that should be used during the modal balancing process as well as allows eliminating the computational modes generated during the rotor response diagram extraction process. There is currently a wide variety of methods for structures that allow extracting limited modal parameters, such as: previous knowledge of the number of modes, adjustment of computational or spurious modes, close mode identification problems, and others. However, localizing the phase angle in rotation systems in any angular position and through complex coupling of the vibration modes does not ensure that the methods developed for structures conserve the same performance during the adjustment process. As regards the line of investigation into modal balancing, a method is proposed that allows ensuring that the modes found are real modes of the system and that through direction tracking where a single vibration mode is excited, the optimum extraction position of the modal parameters used in the balancing process can be determined. The proposed methodology was developed using a linear model and was applied in a field turbogenerator to identify the vibration modes present in the response diagrams.
topic modal balancing
optimum modal parameters
rotation systems
response diagrams
url https://www.jvejournals.com/article/17818
work_keys_str_mv AT rafaelalfonsofigueroadiaz methodologytoimprovemodeidentificationandmodalparameterextractionforrotordynamicanalysis
AT jeaguirreromano methodologytoimprovemodeidentificationandmodalparameterextractionforrotordynamicanalysis
AT abalvantingarcia methodologytoimprovemodeidentificationandmodalparameterextractionforrotordynamicanalysis
AT pcruzalcantar methodologytoimprovemodeidentificationandmodalparameterextractionforrotordynamicanalysis
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