Intelligent fault diagnosis of roller bearings using a transfer learning-based dual-input spectrogram–scalogram convolutional neural network model

Rahul Singh, Ragita Ojha, Suraj P Harsha, Advance Mechanical Vibration Lab, Industrial Engineering Department, Indian Institute of Technology Roorkee

Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics

Published online on April 09, 2026

Abstract

Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, Ahead of Print.
This research proposes DiSCNet (Dual-input Spectrogram–Scalogram Convolutional Network), a dual-input convolutional neural network (CNN) designed for robust and highly accurate bearing fault diagnosis using time–frequency representations of vibration ...