Gear Fault Diagnosis Based on Support Vetor Machine

Xingyan Yao; Chuanwen Liu; Xiping He

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Paper

Gear Fault Diagnosis Based on Support Vetor Machine

In 3rd International Conference on Electromechanical Control Technology and Transportation ICECTT - Volume 1, 146-149, 2018 , Chongqing, China

Authors: Xingyan Yao ; Chuanwen Liu and Xiping He

Affiliation: Chongqing Engineering Laboratory for Detection Control and Integrated System,Chongqing Technology and Business University, China

Keyword(s): gear, fault diagnosis, support vector machine

Abstract: Vibration signals analysis are commonly used in mechanical fault diagnosis, especially in vehicles. The vibration signal contains the information of fault in the gear failure, but this information does not directly characterize all kinds of faults. The feature of fault types of the acceleration signal in time-frequency domain was firstly obtained in the time domain and frequency domain analysis. And wavelet packet decomposition analysis is adopted in time-frequency domain analysis. The support vector machine classification was employed to get the fault characteristic. The results show that, the energy spectrum feature of time-frequency based on wavelet decomposition is the best choices for the fault identification of gear.

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Paper citation in several formats:

Yao, X.; Liu, C. and He, X. (2018). Gear Fault Diagnosis Based on Support Vetor Machine. In 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT; ISBN 978-989-758-312-4, SciTePress, pages 146-149. DOI: 10.5220/0006966601460149

@conference{icectt18,
author={Xingyan Yao. and Chuanwen Liu. and Xiping He.},
title={Gear Fault Diagnosis Based on Support Vetor Machine},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT},
year={2018},
pages={146-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006966601460149},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - ICECTT
TI - Gear Fault Diagnosis Based on Support Vetor Machine
SN - 978-989-758-312-4
AU - Yao, X.
AU - Liu, C.
AU - He, X.
PY - 2018
SP - 146
EP - 149
DO - 10.5220/0006966601460149
PB - SciTePress