Bearing temperature monitoring of a Wind Turbine using physics-based model

摘要

Purpose-The purpose of this paper is to propose a method to monitor a Wind Turbine's (WT) main bearing, based on the difference between the temperature as measured by the Supervisory Control and Data Acquisition system (SCADA). Design/methodology/approach-The monitoring of the main bearing is based on the difference between the measured temperature and the estimated temperature obtained from a dynamic model. The model used is based on the law of energy conservation. Several validation metrics have suggested that this model is accurate. Findings-The Exponentially Weighted Moving Average control chart for two cases studies is used for the monitoring for the main bearing; this method has shown great potential for industrial applications. A failure was detected three weeks before the current actual alarm settings used by SCADA were able to identify the issue. Originality/value-The proposed method is a monitoring method that can be used on most industrial wind farms and provide important information on the condition of the WTs'main bearing.