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Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals
Research article (Sensors, 2022) · cited 21× · AI/ML
Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals
Summary
Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals is a scholarly article[1].
Key Facts
Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-classification-of-rotor-faults-in-soft-started-induction-motors-based-on-persistence-spectrum-and-convolutiona
MLA“Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-classification-of-rotor-faults-in-soft-started-induction-motors-based-on-persistence-spectrum-and-convolutiona.
BibTeX@misc{4ortxyz_automatic-classification-of-rotor-faults-in-soft-started-induction-motors-based-on-persistence-spectrum-and-convolutiona_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-classification-of-rotor-faults-in-soft-started-induction-motors-based-on-persistence-spectrum-and-convolutiona}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals — https://4ort.xyz/entity/automatic-classification-of-rotor-faults-in-soft-started-induction-motors-based-on-persistence-spectrum-and-convolutiona (retrieved 2026-05-24)
