14 citations · 20 across the 5 of their papers we have counts for
5 papers
System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters
Nart Gashi, Panagiotis Kakosimos, George Papafotiou
Kolmogorov-Arnold Networks (KANs) are emerging as a powerful framework for interpretable and efficient system identification in dynamic systems. By leveraging the Kolmogorov-Arnold…
Reliable Thermal Monitoring of Electric Machines through Machine Learning
Panagiotis Kakosimos
The electrification of powertrains is rising as the objective for a more viable future is intensified. To ensure continuous and reliable operation without undesirable malfunctions,…
Temperature Estimation in Induction Motors using Machine Learning
Dinan Li, Panagiotis Kakosimos
The number of electrified powertrains is ever increasing today towards a more sustainable future; thus, it is essential that unwanted failures are prevented, and a reliable operati…
Machine learning-based condition monitoring of powertrains in modern electric drives
Dinan Li, Panagiotis Kakosimos, Luca Peretti
The recent technological advances in digitalization have revolutionized the industrial sector. Leveraging data analytics has now enabled the collection of deep insights into the pe…
An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning
Panagiotis Kakosimos, Alireza Nemat Saberi, Luca Peretti
This study explores alternative framework configurations for adapting thermal machine learning (ML) models for power converters by combining transfer learning (TL) and federated le…