Home ›
Entities
› academia
› Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN
Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN
Research article (International Journal of Precision Engineering and Manufacturing-Green Technology, 2025) · cited 10× · AI/ML
Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN
Summary
Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN is a scholarly article[1].
Key Facts
Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN'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). Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/intelligent-fault-diagnosis-of-rolling-bearings-in-strong-noise-environment-an-attention-driven-hybrid-model-based-on-ie
MLA“Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/intelligent-fault-diagnosis-of-rolling-bearings-in-strong-noise-environment-an-attention-driven-hybrid-model-based-on-ie.
BibTeX@misc{4ortxyz_intelligent-fault-diagnosis-of-rolling-bearings-in-strong-noise-environment-an-attention-driven-hybrid-model-based-on-ie_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN}}, year = {2026}, url = {https://4ort.xyz/entity/intelligent-fault-diagnosis-of-rolling-bearings-in-strong-noise-environment-an-attention-driven-hybrid-model-based-on-ie}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Intelligent Fault Diagnosis of Rolling Bearings in Strong Noise Environment: An Attention-Driven Hybrid Model Based on IENEMD and Parallel Multiscale CNN — https://4ort.xyz/entity/intelligent-fault-diagnosis-of-rolling-bearings-in-strong-noise-environment-an-attention-driven-hybrid-model-based-on-ie (retrieved 2026-05-24)