An Extension of Smart Failure Modes and Effects Application for Wind Turbines

Energy is a critical part of socio-economic growth and financial expansion. Wind energy, for instance, is a RE source that is native to the area and may assist in reducing reliance on fossil fuels. Electricity production from wind energy has increased dramatically in recent years all around the earth. The most critical challenge for the wind business is effectively predicting the dependability and availability of newly constructed WT. Furthermore, the FMEA approach has been utilized to investigate the dependability of a variety of power production systems. We suggest evaluating the windmill system technique using Smart FMEA, which is a mix of standard FMEA, DEA, and AHP. The components of WT are the focus of the failure mechanisms, impacts, and analyses. As components of WT, time and costs criticalities are gained. Several crucial choice criteria are validated under this study, in addition to weather (temperature, wind speed, wind direction, and so on) and wind turbine type. It also examines the interaction between components of wind farms that will be presented as downtime, cost criticalities are examined with a type of WT using AHP and DEA with crisp linguistic modeling and analyzes the impacts of decision factors while applying Smart FMEA on WT. Keywords: Data Envelopment Analysis, Wind power, Wind turbine, Renewable Energy, Feasibility Study of Wind Farm, Smart FMEA, Analytical Hierarchy Process.