Gear Fault Diagnosis Methods Based on EMD and HMM

Bin Wu; Song He Zhang; Yuegang Luo; Shan Ping Yu

doi:10.4028/www.scientific.net/AMM.333-335.1684

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Gear Fault Diagnosis Methods Based on EMD and HMM

Gear Fault Diagnosis Methods Based on EMD and HMM

Abstract:

Due to the feature and the forms of motion of the gears, the vibration signal of the gear is mainly the frequency modulation, amplitude modulation, or hybrid modulation signal corresponding to the gear-mesh frequency and its double frequency signal. When faults arise on the gears, the number and shape of the modulation sideband will be changed. The structures and forms of the FM composition differ according to the type of faults. According to the above mentioned characteristic, this essay raises a method to disassemble the gear vibrate signal, points out the formulas to build up characteristic vector, on that basis, the essay raised a gear fault diagnosis method based on EMD and Hidden Markov Model (HMM), this method can identify the working condition of the normal gears, snaggletooth gears, and pitting gears.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

1684-1687

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.1684

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Online since:

July 2013

Authors:

Bin Wu, Song He Zhang, Yuegang Luo, Shan Ping Yu

Keywords:

Empirical Mode Decomposition (EMD), Fault Diagnosis, Gear, HMM

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References

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