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Volume 12 Issue 07
July 2026
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Author(s)
S. Das Vignesh S. Sathishkumar S. Tamilarasan L. Priyadharsan Mr. D. Saravanan
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.
Keywords
Fault Diagnosis
Multiscale Kernel CNN
Improved Accuracy
Experimental Validation
Fault Classification.
Paper ID
IJSARTV11I5103608
Publication Date
May 20, 2025
Research Area
Electrical And Electronics Engineering