Intelligent Fault Diagnosis In Cascaded Multilevel Inverters Using Multiscale Kernel Cnn

• Author(s):

  S. Das Vignesh | S. Sathishkumar | S. Tamilarasan | L. Priyadharsan | Mr. D. Saravanan

• Keywords:

  Fault Diagnosis, Multiscale Kernel CNN, Improved Accuracy, Experimental Validation, Fault Classification.

• Abstract:

  This Paper Proposes An Intelligent Fault Diagnosis Method For Cascaded Multilevel Inverters Using A Multiscale Kernel Convolutional Neural Network (CNN). The Approach Leverages The Ability Of CNNs To Extract Features From Signals And Diagnose Faults In Inverters. By Utilizing Multiscale Kernels, The Method Can Effectively Capture Fault Characteristics At Different Scales, Enhancing Diagnosis Accuracy. The Proposed Method Is Validated Through Experiments, Demonstrating Its Effectiveness In Detecting And Classifying Faults In Cascaded Multilevel Inverters.

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Other Details

• Paper id:

  IJSARTV11I5103608

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-20

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