A Gramian Angular Field-Based Convolutional Neural Network Approach for Crack Detection in Low-Power Turbines from Vibration Signals

The detection of damage in wind turbine blades is critical for ensuring their operational efficiency and longevity. This study presents a novel method for wind turbine blade damage detection, utilizing Gramian Angular Field (GAF) transformations of vibration signals in combination with Convolutional...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Angel H. Rangel-Rodriguez, Juan P. Amezquita-Sanchez, David Granados-Lieberman, David Camarena-Martinez, Maximiliano Bueno-Lopez, Martin Valtierra-Rodriguez
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2025-09-01
Цуврал:	Information
Нөхцлүүд:	convolutional neural network crack detection deep learning gramian angular field vibration signals wind turbine
Онлайн хандалт:	https://www.mdpi.com/2078-2489/16/9/775
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!