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Large Power Transformer Overload Detection using Sound Analysis

Published: 28 October 2021 Publication History

Abstract

Power transformer is a very important device, linking electric generators, transmission lines, and consumers. It requires a continuous monitoring and diagnosis for a safe and stable operating life. Overloading is among those which can shutdown transformers. This research aims to use a microphone to distinguish between underload, full load, and overload operations of a large (63MVA) power transformer. Three acoustic features and six classification models are evaluated to establish the overload detection system based on sound analysis. Results show that this is a promising way to monitor power transformer overload.

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            cover image ACM Other conferences
            SPML '21: Proceedings of the 2021 4th International Conference on Signal Processing and Machine Learning
            August 2021
            183 pages
            ISBN:9781450390170
            DOI:10.1145/3483207
            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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            Published: 28 October 2021

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