Home ›
Entities
› academia
› Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks
Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks
Research article (ISA Transactions, 2024) · cited 32× · AI/ML
Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks
Summary
Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks is a scholarly article[1].
Key Facts
Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/cross-domain-bearing-fault-diagnosis-using-dual-path-convolutional-neural-networks-and-multi-parallel-graph-convolutiona