Gear Fault Diagnosis Method Based on Cyclostationary Degree and HMM

Bin Wu; Jing Kang; Yuegang Luo

doi:10.4028/www.scientific.net/AMR.291-294.3397

Paper Titles

Experimental Research on Modifier Optimization of Flotation Process in a Molybdenum Ore in Inner Mongolia
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Numerical Simulation of Electromagnetic Induction Heating in the Material Heat Treatment
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A Method for Calculating Deformation of Long-Distance Pipeline Based on Strain
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The GPU-Based Parallel Implementation of Phase Information Extraction of Multi-View Images
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Gear Fault Diagnosis Method Based on Cyclostationary Degree and HMM
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Wireless Sensor Network (WSN) Using in Tunnel Environmental Monitoring for Disaster Prevention
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Effects of Cellulase Modification on Fiber Surface and Quality of Masson Pine Mechanical Pulp
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The Research on Green Project Management Evaluation Method of Construction
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Study on the Coordination Compound of Human-Like Collagen with Copper (II)
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 291-294Gear Fault Diagnosis Method Based on...

Gear Fault Diagnosis Method Based on Cyclostationary Degree and HMM

Abstract:

This paper proposes a gear fault diagnosis method based on cyclostationary degree and Hidden Markov Model (HMM) theory. By using the demodulation characteristic of cyclostationary degree for AM and FM signals, we extract the characteristic information of the gear working status. This information can be converted into sets of fault feature vector, which is used as the training sample or observed sample of HMM model for gear fault identification. Experimental results show that the gear fault diagnosis method has good recognition result for the four kinds of status of normal, broken teeth, pitting and wear gear.

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Periodical:

Advanced Materials Research (Volumes 291-294)

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3397-3400

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.291-294.3397

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Online since:

July 2011

Authors:

Bin Wu, Jing Kang, Yuegang Luo

Keywords:

Cyclostionary Degree, Fault Diagnosis, Gear, HMM

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