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Edris Shamsulhaq

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Open access Jul 2026

Unsupervised Hybrid Deep Learning for Unknown Bearing Fault Diagnosis and Severity Assessment

An unsupervised hybrid deep learning framework for unknown bearing fault diagnosis and severity assessment using vibration signals that combines Continuous Wavelet Transform, Convolutional Neural Networks, and Long Short-Term Memory autoencoders is presented.

Edris Shamsulhaq, Fikri Arif Wicaksana · 0 citations