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Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning
Research article (Nonlinear Dynamics, 2024) · cited 14× · AI/ML
Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning
Summary
Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning is a scholarly article[1].
Key Facts
Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-method-based-on-dynamic-simulated-model-from-source-domain-to-target-domain-with-improve
MLA“Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-method-based-on-dynamic-simulated-model-from-source-domain-to-target-domain-with-improve.
BibTeX@misc{4ortxyz_rolling-bearing-fault-diagnosis-method-based-on-dynamic-simulated-model-from-source-domain-to-target-domain-with-improve_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning}}, year = {2026}, url = {https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-method-based-on-dynamic-simulated-model-from-source-domain-to-target-domain-with-improve}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning — https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-method-based-on-dynamic-simulated-model-from-source-domain-to-target-domain-with-improve (retrieved 2026-05-24)