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Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions
Research article (Measurement, 2024) · cited 28× · AI/ML
Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions
Summary
Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions is a scholarly article[1].
Key Facts
Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working 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). Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-subdomain-adversarial-network-with-self-supervised-learning-for-aero-engine-high-speed-bearing-fault-diagnosis-with
MLA“Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-subdomain-adversarial-network-with-self-supervised-learning-for-aero-engine-high-speed-bearing-fault-diagnosis-with.
BibTeX@misc{4ortxyz_deep-subdomain-adversarial-network-with-self-supervised-learning-for-aero-engine-high-speed-bearing-fault-diagnosis-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions}}, year = {2026}, url = {https://4ort.xyz/entity/deep-subdomain-adversarial-network-with-self-supervised-learning-for-aero-engine-high-speed-bearing-fault-diagnosis-with}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions — https://4ort.xyz/entity/deep-subdomain-adversarial-network-with-self-supervised-learning-for-aero-engine-high-speed-bearing-fault-diagnosis-with (retrieved 2026-05-24)
