Experimental study on gearbox prognosis using total life vibration analysis

Author

Teng Hongzhi ; Zhao Jianmin ; Jia Xisheng ; Jia Yunxian ; Zhang Xinghui ; Cai Liying

Author_Institution

Dept. of Manage. Eng., Ordnance Eng. Coll., Shijiazhuang, China

fYear

2011

fDate

24-25 May 2011

Firstpage

1

Lastpage

6

Abstract

The wear fault is one of the gear failure modes which most frequently happen in gearboxes. Tracking the development of wear, especially estimating the remaining usage life for early wear is a challenge in gearbox fault diagnosis and prognosis. A method to extract the feature of gearbox´s signal is proposed and the remaining usage life is evaluated in this paper. The total life vibration signal of experimental study is taken as the research basis. Extracting features from vibration signals is carried out by Time-Frequency analysis. The rule of gear wear progression is studied using the vibration signal feature. The remaining usage life estimate is implemented by Hidden semi-Markov model. Through the total life test of gearbox, the feasibility and effectiveness of this method is verified.

Keywords

fault diagnosis; feature extraction; gears; hidden Markov models; time-frequency analysis; vibrations; Hidden semi-Markov model; fault diagnosis; feature extraction; gear wear progression; gearbox prognosis; time-frequency analysis; total life vibration analysis; vibration signal; Hidden Markov models; Markov processes; TV; Choi-Williams distribution; Hidden semi-Markov model; feature extraction; gear wear; remaining usage life; time-frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Prognostics and System Health Management Conference (PHM-Shenzhen), 2011

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-7951-1

Electronic_ISBN

978-1-4244-7949-8

Type

conf

DOI

10.1109/PHM.2011.5939486

Filename

5939486