Streamlined Bearing Fault Detection Using Artificial Intelligence in Permanent Magnet Synchronous Motors

Streamlined Bearing Fault Detection Using Artificial Intelligence in Permanent Magnet Synchronous Motors

Permanent magnet synchronous motors (PMSMs) are widely used in industrial applications due to their high efficiency and reliability. However, bearing faults remain a critical issue, necessitating robust fault detection strategies. This paper proposes an edge–fog–cloud architecture for bearing fault...

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Bibliographic Details
Main Authors: Javier de las Morenas, Lidia M. Belmonte, Rafael Morales
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Machines
Subjects:
non-intrusive condition monitoring
bearing fault detection
edge–fog–cloud computing
artificial intelligence
raw data preprocessing
Online Access:https://www.mdpi.com/2075-1702/13/5/357
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