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September 16, 2025MathematicsOpen Access

Enhanced Fault Diagnosis of Drive-Fed Induction Motors Using a Multi-Scale Wide-Kernel CNN

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Authors

PKP KumarBYByungun YoonPKPrashant Kumar

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Overview

This research introduces a novel MWK-CNN framework for fault diagnosis, improving sensitivity in drive-fed induction motors.

Key Points

  • The novel MWK-CNN model significantly enhances fault detection accuracy in drive-fed induction motors.
  • Electrical signals under various conditions were used to train the model, achieving superior diagnostic performance.
  • The proposed architecture captures both fine and large-scale patterns, addressing challenges in early fault identification.
  • Results indicated that the new approach outperforms existing techniques in detecting faults within induction motor systems.

Cite This Study

Kumar et al. (2025) studied this question.

synapsesocial.com/papers/68d454d131b076d99fa5a64chttps://doi.org/10.3390/math13182963
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