Combined Optimizer for Automatic Design of Machine Learning-Based Fault Classifier for Multilevel Inverters
Author:
Affiliation:
1. Department of EEE, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, India
2. Technical Manager, Engineering Research and Development Services (ERS), HCL Technologies Pvt. Ltd., Chennai, Tamil Nadu, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09839379.pdf?arnumber=9839379
Reference43 articles.
1. A survey of the applications of Bayesian networks in agriculture
2. Decision tree classifier for network intrusion detection with GA-based feature selection
3. Fault Investigation in Cascaded H-Bridge Multilevel Inverter through Fast Fourier Transform and Artificial Neural Network Approach
4. Cascaded H-Bridge Multilevel Inverter System Fault Diagnosis Using a PCA and Multiclass Relevance Vector Machine Approach
5. Fault Diagnosis and Reconfiguration for Multilevel Inverter Drive Using AI-Based Techniques
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