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A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions
Research article (Measurement, 2022) · cited 63× · AI/ML
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions
Summary
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions is a scholarly article[1].
Key Facts
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-class-alignment-method-based-on-graph-convolution-neural-network-for-bearing-fault-diagnosis-in-presence-of-missing-da
MLA“A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-class-alignment-method-based-on-graph-convolution-neural-network-for-bearing-fault-diagnosis-in-presence-of-missing-da.
BibTeX@misc{4ortxyz_a-class-alignment-method-based-on-graph-convolution-neural-network-for-bearing-fault-diagnosis-in-presence-of-missing-da_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions}}, year = {2026}, url = {https://4ort.xyz/entity/a-class-alignment-method-based-on-graph-convolution-neural-network-for-bearing-fault-diagnosis-in-presence-of-missing-da}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions — https://4ort.xyz/entity/a-class-alignment-method-based-on-graph-convolution-neural-network-for-bearing-fault-diagnosis-in-presence-of-missing-da (retrieved 2026-05-24)
