Normalized vibration signals of blades with different cracked zones in a wind turbine in operation

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Authors: P.Y. Sevilla-Camacho, José Billerman Robles-Ocampo
Cited by: 0

Abstract

The dataset includes vibration signals acquired directly at the root of each of three wind turbine blades of a low-power rotating wind turbine. The tests were conducted at the same wind speed. The wind turbine blades have different health conditions; the cases considered are healthy blades and cracked blades in one of three cross-sectional areas: root, middle, or tip. There are 10 cases, with 7680 files each. The dataset was collected at a sampling rate of 1 kHz, with 500 samples per channel.

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Structural Health Monitoring Techniques Wind Energy Research and Development

Publication details

Journal / source
Mendeley Data
Publication date
10 February 2026
Language
EN
Document type
Dataset