@inproceedings{19052f09ff8b4c8caf5208d5cefb40f7,
title = "A Machine Learning Clustering Algorithm for Sensorless Multilevel Converters",
abstract = "A method to determine the individual cell voltage in a multilevel converter through the output voltage is introduced. This technique can estimate the cell voltages without any knowledge of the controller switching sequence and can provide updated voltages within a quarter cycle. Estimates are obtained by using k-means algorithm to cluster the measured output data and determine cell voltage levels. Experimental results show that this technique can be applied in real time applications to add resiliency or reduce number of voltage sensors.",
keywords = "clustering, k-means, machine learning, multilevel inverter, sensorless",
author = "Filho, {Faete J.T.} and Parker Zieg and Burak Ozpineci and Nicholas Hill and Tolbert, {Leon M.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 ; Conference date: 11-10-2020 Through 15-10-2020",
year = "2020",
month = oct,
day = "11",
doi = "10.1109/ECCE44975.2020.9235685",
language = "English",
series = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1973--1976",
booktitle = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",
}