Machine Learning-Based Tools for Wind Turbine Acoustic Monitoring

Machine Learning-Based Tools for Wind Turbine Acoustic Monitoring

The identification and separation of sound sources has always been a difficult problem for acoustic technicians to tackle. This is due to the considerable complexity of a sound that is made up of many contributions at different frequencies. Each sound has a specific frequency spectrum, but when many...

Full description

Bibliographic Details
Main Authors: Giuseppe Ciaburro, Gino Iannace, Virginia Puyana-Romero, Amelia Trematerra
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
wind turbine
noise measurements
low-frequency sound
artificial neural network
pattern recognition
support vector machine
Online Access:https://www.mdpi.com/2076-3417/11/14/6488

Similar Items

Similar Items