Vibration Signal-Based Fault Diagnosis of Rotary Machinery Through Convolutional Neural Network and Transfer Learning Method

Artificial Intelligence (AI) is revolutionizing proactive repair systems by enabling real-time identification of bearing faults in industrial machinery. However, traditional fault detection methods often struggle in dynamic environments due to their dependence on specific training conditions. To add...

Full description

Saved in:

Bibliographic Details
Main Authors:	Chirag Mongia, Shankar Sehgal
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Vibration
Subjects:	convolutional neural networks (CNNs) fault diagnosis rotary machinery short-time Fourier transform (STFT) transfer learning vibration signal analysis
Online Access:	https://www.mdpi.com/2571-631X/8/2/27
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Vibration Signal-Based Fault Diagnosis of Rotary Machinery Through Convolutional Neural Network and Transfer Learning Method

Similar Items