MSFF-Net: Multi-Sensor Frequency-Domain Feature Fusion Network with Lightweight 1D CNN for Bearing Fault Diagnosis

MSFF-Net: Multi-Sensor Frequency-Domain Feature Fusion Network with Lightweight 1D CNN for Bearing Fault Diagnosis

This study proposes MSFF-Net, a lightweight deep learning framework for bearing fault diagnosis based on frequency-domain multi-sensor fusion. The vibration and acoustic signals are initially converted into the frequency domain using the fast Fourier transform (FFT), enabling the extraction of tempo...

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Bibliographic Details
Main Authors: Miao Dai, Hangyeol Jo, Moonsuk Kim, Sang-Woo Ban
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
bearing fault diagnosis
one-dimensional convolutional neural network
acoustic data
Vibration data
Multi-sensor data fusion
Online Access:https://www.mdpi.com/1424-8220/25/14/4348
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