Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault

Research article (Mechanism and Machine Theory, 2020) · cited 63× · AI/ML
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Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault

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Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault. Retrieved May 24, 2026, from https://4ort.xyz/entity/uncertainty-quantification-in-deep-convolutional-neural-network-diagnostics-of-journal-bearings-with-ovalization-fault
MLA “Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uncertainty-quantification-in-deep-convolutional-neural-network-diagnostics-of-journal-bearings-with-ovalization-fault.
BibTeX @misc{4ortxyz_uncertainty-quantification-in-deep-convolutional-neural-network-diagnostics-of-journal-bearings-with-ovalization-fault_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault}}, year = {2026}, url = {https://4ort.xyz/entity/uncertainty-quantification-in-deep-convolutional-neural-network-diagnostics-of-journal-bearings-with-ovalization-fault}, note = {Accessed: 2026-05-24}}
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