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Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network
Research article (Nuclear Engineering and Technology, 2023) · cited 38× · AI/ML
Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network
Summary
Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network is a scholarly article[1].
Key Facts
Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network. Retrieved May 24, 2026, from https://4ort.xyz/entity/imbalanced-sample-fault-diagnosis-method-for-rotating-machinery-in-nuclear-power-plants-based-on-deep-convolutional-cond
MLA“Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/imbalanced-sample-fault-diagnosis-method-for-rotating-machinery-in-nuclear-power-plants-based-on-deep-convolutional-cond.
BibTeX@misc{4ortxyz_imbalanced-sample-fault-diagnosis-method-for-rotating-machinery-in-nuclear-power-plants-based-on-deep-convolutional-cond_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network}}, year = {2026}, url = {https://4ort.xyz/entity/imbalanced-sample-fault-diagnosis-method-for-rotating-machinery-in-nuclear-power-plants-based-on-deep-convolutional-cond}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network — https://4ort.xyz/entity/imbalanced-sample-fault-diagnosis-method-for-rotating-machinery-in-nuclear-power-plants-based-on-deep-convolutional-cond (retrieved 2026-05-24)
