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Classification of Levels of Induction Motor Overload using Sound Analysis

Published: 18 June 2021 Publication History

Abstract

Induction motors are widely used not only in home appliances but also in industries because of their important role in electromechanical energy conversion. Overloading is among those which can shorten the operating life of those electric machines. Our research tries to use a single microphone to distinguish between full load, 10 percent overload, and 100 percent overload operations of induction motors. Three acoustic features and five classification models are evaluated to establish an overload classification system based on sound analysis. Obtained results show that this is a promising way to classify and monitor induction motor overload.

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cover image ACM Other conferences
ICMLSC '21: Proceedings of the 2021 5th International Conference on Machine Learning and Soft Computing
January 2021
178 pages
ISBN:9781450387613
DOI:10.1145/3453800
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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Association for Computing Machinery

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Publication History

Published: 18 June 2021

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Author Tags

  1. Classification
  2. Induction motor overload
  3. Machine learning
  4. Sound analysis

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