Our customer was facing the need to carefully predict the Operations and Maintenance (O&M) expenditures of the wind farms for the following years due to a rising cost of unscheduled maintenance.
Development of a system that dynamically estimates the reliability of different wind turbine generator (WTG) components throughout its useful life and predicts failure rate of the wind turbines.
The factors that significantly influence the reliability have been identified, such as WTG manufacturers, drive train configuration, power class, site and terrain class and wind characterization.
Prediction models take into account the technology diversity and geographical spread of the wind farms, allowing for the O&M budgeting of the wind farms associated with preventive and corrective actions (due to expected repairs and maintenance policies in use).
