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World Journal Control Science and Engineering. 2013, 1(1), 1-8
DOI: 10.12691/wjcse-1-1-1
Open AccessArticle

Optimal Wind Turbine Planetary Gearbox Replacement Decision Using Vibration Monitoring and Hazard Model

Shawki A. Abouel-seoud1 and Mohamed I. Khalil1,

1Automotive Engineering Department, Helwan University, Cairo, Egypt

Pub. Date: July 25, 2013

Cite this paper:
Shawki A. Abouel-seoud and Mohamed I. Khalil. Optimal Wind Turbine Planetary Gearbox Replacement Decision Using Vibration Monitoring and Hazard Model. World Journal Control Science and Engineering. 2013; 1(1):1-8. doi: 10.12691/wjcse-1-1-1


A reliable machine fault prognostic system can be used to forecast damage propagation trend in rotary machinery and to provide an alarm before a fault reaches critical levels. Wind turbine planetary gearbox components have no exception, where hazard rate model was used. The objective of this paper is focused specifically on the use of a generalized statistical method for characterizing and predicting system Weibull density function hazard rate that best corresponds to the given set of filtered vibration data. The prognostic performance was illustrated using five types of gearbox faults. Faults have been artificial made in the wind turbine gearbox components, where the details and dimensions of these faults are presented. The failure hazard rate in terms of RMS value of rotational vibration acceleration prediction was considered. The information incurred in this paper can help for prognostic procedure. The results show that the predicted RMS of vibration acceleration response at failure based on the Weibull distribution with assured reliability was quite close to the healthy value for planet gear tooth spalling followed by planet gear tooth breakage, planet gears carrier crack and main bearing inner race crack with the less close of planet gear tooth crack. The results show that the predictive failure hazard rates are effective in estimating the progress of the prognostic process well in advance of the impending catastrophic failure. Moreover, the results also show the effectiveness of using the hazard rate model in estimating the variations of the failure hazard rate.

optimization reliability hazard rate prognostic failure Weibull distribution deterioration

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