Banca de QUALIFICAÇÃO: ELIEL DA COSTA PINHEIRO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ELIEL DA COSTA PINHEIRO
DATE: 01/06/2026
TIME: 14:00
LOCAL: on-line
TITLE:

Automatic Detection and Classification of Faults in Wind Turbine Blades Using YOLO Family Models.


KEY WORDS:

Wind energy, predictive fault detection, Electrical Signature Analysis (ESA), operational continuity.


PAGES: 74
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
SUMMARY:

Wind energy originated in Scotland in 1887 and became established in Denmark in 1976. In Brazil, its development began in 1992 on the island of Fernando de Noronha and expanded significantly over the following decades, driven by substantial investments and by the need to diversify the national energy matrix. As a result, wind power became one of the most competitive energy sources in Brazilian electricity auctions, reducing dependence on hydropower and strengthening energy security. In this context, the development of predictive analysis techniques has become essential to avoid high maintenance costs and operational downtime in wind farms. Wind turbines are composed of several components, each one associated with specific failure modes and repair times, and blade-related failures stand out due to their higher maintenance complexity and greater economic impact. To mitigate such costs, preventive inspection methods such as Electrical Signature Analysis (ESA) and the Wavelet transform have been developed for predictive fault detection. In addition, other techniques, including visual inspection, ultrasound, strain transducers, SCADA systems, and drone-based inspection, have been applied to identify and classify blade damage, each presenting specific advantages and limitations. Therefore, these methods contribute to improving the efficiency, reliability, and operational continuity of wind farms by reducing repair time and associated costs.


COMMITTEE MEMBERS:
Presidente - 3157135 - ANTONIO WALLACE ANTUNES SOARES
Interno - 1045672 - MAX CHIANCA PIMENTEL FILHO
Interno - 1168362 - THIAGO DE OLIVEIRA ALVES ROCHA
Notícia cadastrada em: 20/05/2026 09:45
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