Fault Diagnosis of Induction Motors with Imbalanced Data Using Deep Convolutional Generative Adversarial Network
Summary
Fault Diagnosis of Induction Motors with Imbalanced Data Using Deep Convolutional Generative Adversarial Network is a scholarly article[1].
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Fault Diagnosis of Induction Motors with Imbalanced Data Using Deep Convolutional Generative Adversarial Network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Fault Diagnosis of Induction Motors with Imbalanced Data Using Deep Convolutional Generative Adversarial Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-diagnosis-of-induction-motors-with-imbalanced-data-using-deep-convolutional-generative-adversarial-network
MLA“Fault Diagnosis of Induction Motors with Imbalanced Data Using Deep Convolutional Generative Adversarial Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-diagnosis-of-induction-motors-with-imbalanced-data-using-deep-convolutional-generative-adversarial-network.
BibTeX@misc{4ortxyz_fault-diagnosis-of-induction-motors-with-imbalanced-data-using-deep-convolutional-generative-adversarial-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault Diagnosis of Induction Motors with Imbalanced Data Using Deep Convolutional Generative Adversarial Network}}, year = {2026}, url = {https://4ort.xyz/entity/fault-diagnosis-of-induction-motors-with-imbalanced-data-using-deep-convolutional-generative-adversarial-network}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault Diagnosis of Induction Motors with Imbalanced Data Using Deep Convolutional Generative Adversarial Network — https://4ort.xyz/entity/fault-diagnosis-of-induction-motors-with-imbalanced-data-using-deep-convolutional-generative-adversarial-network (retrieved 2026-05-24)
