WTG’s Gearbox Condition Assessment by Matching the Hilbert-Huang Spectrum of Vibration Signal

Hai Ning Pan; Ming Qin; Lei Pan

doi:10.4028/www.scientific.net/AMM.291-294.522

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 291-294WTG’s Gearbox Condition Assessment by Matching the...

WTG’s Gearbox Condition Assessment by Matching the Hilbert-Huang Spectrum of Vibration Signal

Abstract:

A gearbox condition assessment method for the Wind Turbine Generator (WTG) is proposed. Vibration signal’s Intrinsic Mode Functions (IMF) are decomposed by Empirical Mode Decomposition (EMD). Normalized Hilbert-Huang and Direct Quadrature (DQ) method are used to determine the instantaneous frequency. The HHS of vibration signals is plotted and then is shifted to match the pre-defined faulty gear condition by the Iterative Closest Point (ICP) algorithm to diagnose their similarities. The principle and effectiveness of the proposed method are illustrated by simulation, the fault types of gearbox can be identified by ICP algorithm effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 291-294)

Pages:

522-526

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.291-294.522

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Online since:

February 2013

Authors:

Hai Ning Pan, Ming Qin, Lei Pan

Keywords:

Condition Assessment, Gearbox Vibration, Hilbert-Huang Spectrum, ICP, WTG

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