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Detection and monitoring of shaft misalignment in rotors using hilbert huang transform
N. Harish Chandra,
Published in American Society of Mechanical Engineers (ASME)
2014
Volume: 7A
   
Abstract
Precise detection of the misalignment can reduce maintenance cost, power loss and improve life of rotating machinery. In this paper, Hilbert Huang Transform (HHT) of the run-up response of a rotor is used to detect coupling misalignment. A finite element analysis is carried out to simulate desirable level of possible parallel and angular misalignment. All the best conventional detection techniques like Fourier spectrum analysis, Continuous Wavelet Transform are compared with results obtained by HHT. The effect of Signal to Noise Ratio and angular acceleration on all the methods to detect misalignment is discussed. The comparison of the methods is oriented towards detecting least possible misalignment level. Finally, experiments are performed on a test rotor rig to detect induced misalignment using the proposed method. It is observed that this method is sensitive to low misalignment, and consumes less testing time. Copyright © 2014 by ASME.
About the journal
JournalProceedings of the ASME Turbo Expo
PublisherAmerican Society of Mechanical Engineers (ASME)
Open AccessNo
Concepts (16)
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    Finite element method
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    Machinery
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    Maintenance
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    Mathematical transformations
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    Signal to noise ratio
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    Spectrum analysis
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    Wavelet transforms
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    ANGULAR ACCELERATION
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    ANGULAR MISALIGNMENT
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    Continuous wavelet transform
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    CONVENTIONAL DETECTION
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    COUPLING MISALIGNMENT
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    FOURIER SPECTRUM ANALYSIS
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    HILBERT HUANG TRANSFORMS
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    SHAFT MISALIGNMENT
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    Alignment