The Evolution of Machine Learning in Vibration and Acoustics: A Decade of Innovation (2015–2024)

The Evolution of Machine Learning in Vibration and Acoustics: A Decade of Innovation (2015–2024)

The increasing demands for the reliability of modern industrial equipment and structures necessitate advanced techniques for design, monitoring, and analysis. This review article presents the latest research advancements in the application of machine learning techniques to vibration and acoustic sig...

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Bibliographic Details
Main Authors: Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
vibration analysis
acoustic signal processing
machine learning
convolutional neural networks
health management
condition monitoring
Online Access:https://www.mdpi.com/2076-3417/15/12/6549
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