Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime

Research article (IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 2020) · cited 12× · AI/ML
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Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime

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Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-a-diagnosis-tool-based-on-deep-learning-algorithms-and-infrared-images-applicable-to-condition-monitoring
MLA “Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-a-diagnosis-tool-based-on-deep-learning-algorithms-and-infrared-images-applicable-to-condition-monitoring.
BibTeX @misc{4ortxyz_development-of-a-diagnosis-tool-based-on-deep-learning-algorithms-and-infrared-images-applicable-to-condition-monitoring_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-a-diagnosis-tool-based-on-deep-learning-algorithms-and-infrared-images-applicable-to-condition-monitoring}, note = {Accessed: 2026-05-24}}
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