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Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions
Research article (Measurement Science and Technology, 2024) · cited 11× · AI/ML
Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions
Summary
Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions is a scholarly article[1].
Key Facts
Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions's instance of is recorded as scholarly article[2].
References
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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). Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/dual-path-multi-scale-attention-residual-network-for-fault-diagnosis-of-rolling-bearings-under-complex-operating-conditi
MLA“Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dual-path-multi-scale-attention-residual-network-for-fault-diagnosis-of-rolling-bearings-under-complex-operating-conditi.
BibTeX@misc{4ortxyz_dual-path-multi-scale-attention-residual-network-for-fault-diagnosis-of-rolling-bearings-under-complex-operating-conditi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions}}, year = {2026}, url = {https://4ort.xyz/entity/dual-path-multi-scale-attention-residual-network-for-fault-diagnosis-of-rolling-bearings-under-complex-operating-conditi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dual-path multi-scale attention residual network for fault diagnosis of rolling bearings under complex operating conditions — https://4ort.xyz/entity/dual-path-multi-scale-attention-residual-network-for-fault-diagnosis-of-rolling-bearings-under-complex-operating-conditi (retrieved 2026-05-24)