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A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery
Research article (Reliability Engineering & System Safety, 2023) · cited 30× · AI/ML
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery
Summary
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery is a scholarly article[1].
Key Facts
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery's instance of is recorded as scholarly article[2].
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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). A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-sample-selection-approach-based-universal-unsupervised-domain-adaptation-for-fault-diagnosis-of-rotating-machine
MLA“A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-sample-selection-approach-based-universal-unsupervised-domain-adaptation-for-fault-diagnosis-of-rotating-machine.
BibTeX@misc{4ortxyz_a-novel-sample-selection-approach-based-universal-unsupervised-domain-adaptation-for-fault-diagnosis-of-rotating-machine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-sample-selection-approach-based-universal-unsupervised-domain-adaptation-for-fault-diagnosis-of-rotating-machine}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery — https://4ort.xyz/entity/a-novel-sample-selection-approach-based-universal-unsupervised-domain-adaptation-for-fault-diagnosis-of-rotating-machine (retrieved 2026-05-24)
