Fault Diagnosis of Gearbox in Wind Turbine Based on Wavelet Transform and Support Vector Machine

Peng Fei Li; Jia Wei Xiang

doi:10.4028/www.scientific.net/AMM.536-537.18

Paper Titles

Preface and Conference Organization

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Analysis of Ground-Based Navigation Signal Coverage on Performance-Based Navigation
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Detection and Analysis of Rats’ Bioelectromagnetic Signal
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Fault Diagnosis of Gearbox in Wind Turbine Based on Wavelet Transform and Support Vector Machine
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Research of Multi-Channel Audio Data Acquisition System Based on FPGA and ARM
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The Signal Separation for MIMO Radar Based on Particle Filter Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 536-537Fault Diagnosis of Gearbox in Wind Turbine Based...

Fault Diagnosis of Gearbox in Wind Turbine Based on Wavelet Transform and Support Vector Machine

Abstract:

To deal with the lack of effective experimental data under the current condition for gearbox fault pattern recognition, the Wind Turbine Drivetrain Diagnostics Simulator (WTDS) was used for experimental investigation and gained large number of gear fault samples. The wavelet transform is employed to decompose the vibration signal to obtain the energy ratio in each frequency band. Taking energy ratios as feature vectors, the pattern recognition results are obtained by the support vector classification (SVC). The experimental results show that the hybrid approach is robust to noise and has high classification accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 536-537)

Pages:

18-21

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.536-537.18

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Cite this paper

Online since:

April 2014

Authors:

Peng Fei Li*, Jia Wei Xiang

Keywords:

Fault Diagnosis, Gearbox, Support Vector Machine (SVM), Wavelet Transform (WT)

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* - Corresponding Author

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