Abstract
The main purpose of a gear lubricant is to provide adequate oil film thickness to reduce and prevent gear tooth surface failures .Until now, there is no study in the literature related to the estimation of oil film thickness through Acoustic emission signals. In this study, for spur gear condition monitoring a new approach based on mathematical model was presented for oil film regimes detection. This study is focused on the ability of regression model to find whether the gearbox is running in elastohydrodynamic, mixed wear or severe wear lubrication mode. Then, forecasting accuracy of the model is measured by examine the prediction error that produced by using Mean Squared Error and Mean Absolute Error. In this paper a mathematical model for time-series prediction was considered and the results shows the ability of the regression model to predict oil film regime.
Highlights
A gear system is a crucial component of a machine, and represents an essential functional module
The coefficient of RMS indicates that in every second an increase in the Lambda will cause a decrease in the acoustic emission signal (RMS)
This study proposes a regression model to improve the accuracy of oil film thickness prediction for spur gear based on acoustic emission signal
Summary
A gear system is a crucial component of a machine, and represents an essential functional module. Any unpredictable failures in a gear system often result in circumstances that are dangerous and can have severe financial consequences (Ali, Rahman et al 2014, Ali 2014). Gears need to be inspected periodically for sound, vibration and development of cracks (if any), teeth, and bearings failures. Gear failures are generally due to bending, fatigue, contact fatigue, wear and scuffing. These faults in gear can be detected by monitoring vibration, torque, temperature, acoustic and lubrication film thickness continuously or online. Due to the damage on teeth surface vibration, torque, temperature, acoustic emission of gear shaft increases and condition of oil film thickness change to mixed wear, severe wear or elastohydrodynamic (EH) (Sreepradha, Kumari et al 2014)
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