VKCNN: An interpretable variational kernel convolutional neural network for rolling bearing fault diagnosis

Variational Mode Decomposition

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Engineering, Electrical Engineering, Biomedical Signal Processing +15

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

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Engineering, Mechanical Engineering, Finite Element Analysis +11

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

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Computing, Computer Science, Computer Vision +15

The infogram: Entropic evidence of the signature of repetitive transients

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Engineering, Electrical Engineering, Information Theory +6

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Zhibin Zhao, Tianfu Li, Jingyao Wu et al. · ISA Transactions · 2020 · 634 citations · Full text

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