Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 23, 2024MachinesOpen Access

Fault Diagnosis in Induction Motors through Infrared Thermal Images Using Convolutional Neural Network Feature Extraction

View Full Paper
Ask AI
Bookmark
Share

Authors

UCUriel Calderon-UribeRLRocio A. Lizarraga-MoralesIGIgor V. Guryev

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Calderon-Uribe et al. (2024) studied this question.

synapsesocial.com/papers/68e5f515b6db643587589e7fhttps://doi.org/10.3390/machines12080497
View Full Paper
Ask AI
Bookmark
Share

Also Consider

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

  1. 1Novel End-to-End CNN Approach for Fault Diagnosis in Electromechanical Systems Based on Relevant Heating Areas in Thermography2025
  2. 2Novel End-to-End CNN Approach for Fault Diagnosis in Electromechanical Systems Based on Relevant Heating Areas in Thermography2025
  3. 3Induction Motor Fault Detection and Classification using RCNN and SURF Based Machine Learning Algorithms and Infrared Thermography2024 · 1 citations
  4. 4Infrared Thermography-Based Induction Motor Bearing Fault Detection Using Hybrid Method2024
  5. 5Enhanced Fault Diagnosis of Drive-Fed Induction Motors Using a Multi-Scale Wide-Kernel CNN2025 · 2 citations