Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals

Automatic Classification of Rotor Faults in Soft-Started Induction Motors, Based on Persistence Spectrum and Convolutional Neural Network Applied to Stray-Flux Signals

Due to their robustness, versatility and performance, induction motors (IMs) have been widely used in many industrial applications. Despite their characteristics, these machines are not immune to failures. In this sense, breakage of the rotor bars (BRB) is a common fault, which is mainly related to...

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Bibliographic Details
Main Authors: Vicente Biot-Monterde, Angela Navarro-Navarro, Israel Zamudio-Ramirez, Jose A. Antonino-Daviu, Roque A. Osornio-Rios
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
induction motor
CNN
stray-flux
automatic fault diagnosis
soft starters
broken rotor bars
Online Access:https://www.mdpi.com/1424-8220/23/1/316

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