Can I read Machine Learning for Transformer Fault Diagnosis on EtoBox?

Machine Learning for Transformer Fault Diagnosis by subasriramiah is a document available to read on EtoBox.

What is Machine Learning for Transformer Fault Diagnosis about?

The document discusses the design of a machine learning algorithm, specifically the Extreme Learning Machine (ELM), for diagnosing faults in power transformers using dissolved gas analysis (DGA). It highlights the importance of accurate fault identification to maintain transformer reliability and presents a methodology for selecting relevant input variables from DGA data to improve classification accuracy. The study utilizes Rapidminer software for data analysis and emphasizes the potential of AI techniques

Author

subasriramiah

Language

EN