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April 21, 2024

Fault detection of induction machine using artificial neural networks

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Authors

MBMoutaz Bellah BentradBadji Mokhtar-Annaba UniversityAGAdel GhoggalUniversity Frères Mentouri Constantine 1TBTahar BahiBadji Mokhtar-Annaba University

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Cite This Study

Bentrad et al. (2024) studied this question.

synapsesocial.com/papers/68e6e3f4b6db64358765fe40https://doi.org/10.1109/ispa59904.2024.10536840
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Vibration and current monitoring for detecting airgap eccentricity in large induction motors1986 · 513 citations
  2. 2Current Signature Analysis to Detect Induction Motor Faults2001 · 1,138 citations
  3. 3Backpropagation Neural Network Based on Local Search Strategy and Enhanced Multi-objective Evolutionary Algorithm for Breast Cancer Diagnosis2019 · 10 citations
  4. 4Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors1992 · 597 citations
  5. 5Multiple coupled circuit modeling of induction machines1995 · 275 citations