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Dynamical Behavior of Rotating Machinery in Non-Stationary Conditions: Simulation and Experimental Results Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Software Applications for Wind Turbine Vibrations Analysis

Authors : I. Cozorici, H. Balan, R. A. Munteanu, P. Karaisas

Published in: Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Publisher: Springer Berlin Heidelberg

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Abstract

In this paper is presented the implementation of a software for the analysis of vibration generated by wind turbines components. This software application was built in LabWiew programming environment and for vibration analysis and fault detection were used techniques as: wavelet analysis, envelope detection, FFT analysis, Cepstrum analysis, Vector RMS analysis. Vibration signal envelope detection was performed using a virtual instrument based on Hilbert transform and rms analysis was performed using virtual instrument “Vector RMS” specifically designed for vibration analysis. The experimental results were obtained by measuring the vibration signals of a bearing with a simulated fault on outer raceway.

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previous chapter ART-2 Artificial Neural Networks Applications for Classification of Vibration Signals and Operational States of Wind Turbines for Intelligent Monitoring
next chapter Experimental Characterization of Chatter in Band Sawing
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Metadata
Title
Software Applications for Wind Turbine Vibrations Analysis
Authors
I. Cozorici
H. Balan
R. A. Munteanu
P. Karaisas
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Print ISBN: 978-3-642-39347-1

Electronic ISBN: 978-3-642-39348-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-39348-8_59

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