Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure

Research article (IEEE Access, 2021) · cited 32× · AI/ML
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Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure

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Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-faults-of-rolling-element-based-on-persistence-spectrum-and-convolutional-neural-network-with-resnet-structu
MLA “Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-faults-of-rolling-element-based-on-persistence-spectrum-and-convolutional-neural-network-with-resnet-structu.
BibTeX @misc{4ortxyz_identifying-faults-of-rolling-element-based-on-persistence-spectrum-and-convolutional-neural-network-with-resnet-structu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-faults-of-rolling-element-based-on-persistence-spectrum-and-convolutional-neural-network-with-resnet-structu}, note = {Accessed: 2026-05-24}}
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