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Vibration Sensitivity of Large Turbine Generator Shaft Trains to Unbalance Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Experimental Unbalance Identification by Means of Correlation Analysis and Model Order Reduction

Authors : Fabio Dalmazzo Sanches, Robson Pederiva

Published in: Proceedings of the 9th IFToMM International Conference on Rotor Dynamics

Publisher: Springer International Publishing

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Abstract

The unbalance is one of the most common faults in rotor systems and it can cause severe damage during the rotor operation. There are many unbalance detection methods that have been proposed up to now by many researchers around the world, justifying the importance of this theme. This paper proposes a model based identification method to identify the unbalance parameters magnitude and location that avoids the usage of the complete set of rotor responses. This is an initial study that combines the Guyan reduction and the correlation analysis to generate an identification algorithm in time domain, which comes from the Lyapunov matrix equation, able to identify the unbalance parameters. It was used a Laval rotor supported by two rolling bearings whose physical characteristics, stiffness and damping, were determined by optimization using the Differential Evolution method to compare the experimental FRF with the optimized simulated one.

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previous chapter Model-Based Fault Detection on a Non-linear Rotor System
next chapter Fault Detection in a Rotating Machine by Using the Electromechanical Impedance Method
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Metadata
Title
Experimental Unbalance Identification by Means of Correlation Analysis and Model Order Reduction
Authors
Fabio Dalmazzo Sanches
Robson Pederiva
Copyright Year
2015
Book
Proceedings of the 9th IFToMM International Conference on Rotor Dynamics

Print ISBN: 978-3-319-06589-2

Electronic ISBN: 978-3-319-06590-8

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-06590-8_56

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