Literature Review on Failure Mode and Effects Analysis (FMEA) in Wind Turbine Systems and Aerodynamic Design

This review synthesizes foundational and recent literature on Failure Mode and Effects Analysis (FMEA) applied to wind turbine (WT) systems, including traditional approaches, Risk Priority Number (RPN) significance, fuzzy extensions, and integrations with economic factors for onshore and offshore installations. It also covers aerodynamic aspects, such as NACA airfoil series, computational fluid dynamics (CFD) simulations, and blade optimization. Key cited works from pre-2023, including Arabian-Hoseynabadi et al. (2010), Tavner et al. (2010), and Shafiee and Dinmohammadi (2014), are discussed alongside advancements from 2023–2025, emphasizing correlated failures, intelligent data analysis, bio-inspired designs, and financial risk modeling to enhance WT reliability, efficiency, and sustainability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-22
DOI
https://doi.org/10.5281/zenodo.18337732
Primary Topic
Wind Energy Research and Development
Type
article
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article

Literature Review on Failure Mode and Effects Analysis (FMEA) in Wind Turbine Systems and Aerodynamic Design

Kajal Verma, Ashish Patidar
Zenodo (CERN European Organization for Nuclear Research)
Wind Energy Research and Development
article

Literature Review on Failure Mode and Effects Analysis (FMEA) in Wind Turbine Systems and Aerodynamic Design

Kajal Verma, Ashish Patidar
article en

Abstract

This review synthesizes foundational and recent literature on Failure Mode and Effects Analysis (FMEA) applied to wind turbine (WT) systems, including traditional approaches, Risk Priority Number (RPN) significance, fuzzy extensions, and integrations with economic factors for onshore and offshore installations. It also covers aerodynamic aspects, such as NACA airfoil series, computational fluid dynamics (CFD) simulations, and blade optimization. Key cited works from pre-2023, including Arabian-Hoseynabadi et al. (2010), Tavner et al. (2010), and Shafiee and Dinmohammadi (2014), are discussed alongside advancements from 2023–2025, emphasizing correlated failures, intelligent data analysis, bio-inspired designs, and financial risk modeling to enhance WT reliability, efficiency, and sustainability.

Zenodo (CERN European Organization for Nuclear Research)
Chameli Devi Group of Institutions (IN)
Openalex Percentile: Top 83%
Wind Energy Research and Development
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