Home ›
Entities
› academia
› Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples
Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples
Research article (Renewable Energy, 2025) · cited 14× · AI/ML
Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples
Summary
Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples is a scholarly article[1].
Key Facts
Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples'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). Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-class-data-augmentation-and-fault-diagnosis-of-wind-turbine-blades-based-on-isomap-cgan-under-high-dimensional-imb
MLA“Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-class-data-augmentation-and-fault-diagnosis-of-wind-turbine-blades-based-on-isomap-cgan-under-high-dimensional-imb.
BibTeX@misc{4ortxyz_multi-class-data-augmentation-and-fault-diagnosis-of-wind-turbine-blades-based-on-isomap-cgan-under-high-dimensional-imb_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples}}, year = {2026}, url = {https://4ort.xyz/entity/multi-class-data-augmentation-and-fault-diagnosis-of-wind-turbine-blades-based-on-isomap-cgan-under-high-dimensional-imb}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-class data augmentation and fault diagnosis of wind turbine blades based on ISOMAP-CGAN under high-dimensional imbalanced samples — https://4ort.xyz/entity/multi-class-data-augmentation-and-fault-diagnosis-of-wind-turbine-blades-based-on-isomap-cgan-under-high-dimensional-imb (retrieved 2026-05-24)
