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Early Detection of Faults in Induction Motors

In modern industries, induction motors are the backbone of numerous applications, powering everything from manufacturing facilities to transportation systems. While they are known for their reliability, unexpected failures can still occur, leading to increased operational costs, facility damage, or...

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Bibliographic Details
Other Authors: Morinigo-Sotelo, Daniel (Editor), Romero-Troncoso, Rene (Editor), Pons-Llinares, Joan (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Technology: general issues
History of engineering & technology
fault detection
fault diagnosis
frequency analysis
induction motors
rotating machines
signal processing
spectral analysis
time-frequency decompositions
bearing diagnosis
early damage detection
unlabeled learning
deep learning
dynamic information fusion
induction motor
electric machine
machine learning
supervised learning
data-driven
power connection failures
condition monitoring
induction machines
negative sequence currents
shorted turn faults
phasor compensation
Prony method
broken rotor bar
fast Fourier transform
current signal analysis
artificial intelligence
early detection
fault severity
incipient fault
fault-tolerant control
AC machines
back EMF
feedforward compensation
multiple coupled circuit model
parameter identification
fault classification
measurement techniques
physical variables
signal analysis
ITSC fault
traction motor
apFFT
SVM
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Description
Summary:In modern industries, induction motors are the backbone of numerous applications, powering everything from manufacturing facilities to transportation systems. While they are known for their reliability, unexpected failures can still occur, leading to increased operational costs, facility damage, or service interruptions. "Early Detection and Fault Diagnosis of Induction Motors" is a comprehensive volume that compiles ten innovative journal articles focused on maintaining these machines. The papers explore a variety of techniques that introduce new ideas to the field.
Physical Description:1 electronic resource (200 p.)
ISBN:books978-3-0365-9334-0
9783036593357
9783036593340
Access:Open Access

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