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A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks
Research article (Measurement, 2020) · cited 95× · AI/ML
A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks
Summary
A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks is a scholarly article[1].
Key Facts
A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks'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). A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-threshold-self-setting-condition-monitoring-scheme-for-wind-turbine-generator-bearings-based-on-deep-convolutional-gen
MLA“A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-threshold-self-setting-condition-monitoring-scheme-for-wind-turbine-generator-bearings-based-on-deep-convolutional-gen.
BibTeX@misc{4ortxyz_a-threshold-self-setting-condition-monitoring-scheme-for-wind-turbine-generator-bearings-based-on-deep-convolutional-gen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-threshold-self-setting-condition-monitoring-scheme-for-wind-turbine-generator-bearings-based-on-deep-convolutional-gen}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks — https://4ort.xyz/entity/a-threshold-self-setting-condition-monitoring-scheme-for-wind-turbine-generator-bearings-based-on-deep-convolutional-gen (retrieved 2026-05-24)
