Fault Identification and Classification of Asynchronous Motor Drive Using Optimization Approach with Improved Reliability

Fault Identification and Classification of Asynchronous Motor Drive Using Optimization Approach with Improved Reliability

This article aims to provide a technique for identifying and categorizing interturn insulation problems in variable-speed motor drives by combining Salp Swarm Optimization (SSO) with Recurrent Neural Network (RNN). The goal of the proposed technique is to detect and classify Asynchronous Motor fault...

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Bibliographic Details
Main Authors: Gopu Venugopal, Arun Kumar Udayakumar, Adhavan Balashanmugham, Mohamad Abou Houran, Faisal Alsaif, Rajvikram Madurai Elavarasan, Kannadasan Raju, Mohammed H. Alsharif
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
interturn short circuits (ITSC)
Salp Swarm Optimization (SSO)
recurrent neural network (RNN)
Salp Swarm Algorithm Artificial Neural Network (SSAANN)
Online Access:https://www.mdpi.com/1996-1073/16/6/2660

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https://www.mdpi.com/1996-1073/16/6/2660

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