Classification of Low Frequency Signals Emitted by Power Transformers Using Sensors and Machine Learning Methods

Classification of Low Frequency Signals Emitted by Power Transformers Using Sensors and Machine Learning Methods

This paper proposes a method of automatically detecting and classifying low frequency noise generated by power transformers using sensors and dedicated machine learning algorithms. The method applies the frequency spectra of sound pressure levels generated during operation by transformers in a real...

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Bibliographic Details
Main Authors: Daniel Jancarczyk, Marcin Bernaś, Tomasz Boczar
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sensors
Subjects:
low-frequency sensor
power transformer
machine learning
low-frequency noise
classification
Online Access:https://www.mdpi.com/1424-8220/19/22/4909

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