Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors

Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors

Although induction motors (IMs) are robust and reliable electrical machines, they can suffer different faults due to usual operating conditions such as abrupt changes in the mechanical load, voltage, and current power quality problems, as well as due to extended operating conditions. In the literatu...

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Bibliographic Details
Main Authors: Martin Valtierra-Rodriguez, Jesus R. Rivera-Guillen, Jesus A. Basurto-Hurtado, J. Jesus De-Santiago-Perez, David Granados-Lieberman, Juan P. Amezquita-Sanchez
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
broken rotor bars
convolutional neural network
current signals
induction motor
motor current signature analysis (MCSA)
short-time Fourier transform
Online Access:https://www.mdpi.com/1424-8220/20/13/3721

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