Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis

Induction Machine Stator Fault Tracking Using the Growing Curvilinear Component Analysis

Detection of stator-based faults in Induction Machines (IMs) can be carried out in numerous ways. In particular, the shorted turns in stator windings of IM are among the most common faults in the industry. As a matter of fact, most IMs come with pre-installed current sensors for the purpose of contr...

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Bibliographic Details
Main Authors: Rahul R Kumar, Vincenzo Randazzo, Giansalvo Cirrincione, Maurizio Cirrincione, Eros Pasero, Andrea Tortella, Mauro Andriollo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Data streaming analysis
growing curvilinear component analysis
induction machine
neural networks
on-line fault diagnosis
principal component analysis
Online Access:https://ieeexplore.ieee.org/document/9306809/

Internet

https://ieeexplore.ieee.org/document/9306809/

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