Rotor fault detection in induction motors operated with different types of soft-starters

2020 ◽  
Author(s):  
M. Garcia-Pellicer ◽  
A. Quijano-Lopez ◽  
J.A. Antonino-Daviu ◽  
I. Higuero-Torres ◽  
E. Martinez-Montes ◽  
...  
Keyword(s):  
Fault Detection ◽  
Induction Motors ◽  
Different Types

scholarly journals Bearing Fault Detection in Induction Motors Using Line Currents

2021 ◽  
Vol 19 (2) ◽  
Author(s):  
Sunder M ◽  
Abishek R ◽  
Sabarivelan S ◽  
Monalisa Maiti ◽  
Kishore Bingi
Keyword(s):  
Numerical Analysis ◽  
Fault Detection ◽  
Induction Motors ◽  
Bearing Fault ◽  
Bearing Fault Detection ◽  
Detection Model ◽  
Proposed Model ◽  
Different Types ◽  
The Hilbert Transform ◽  
Vector Approach

This paper focuses on the development of a bearing fault detection model for induction motors using line currents. The graphical and numerical analysis of the model has been developed using the park's vector approach and envelope based on the Hilbert transform. The proposed model has been evaluated on currents measured from eight different types of induction motors. The graphical results from the Concordia pattern between d- and q-components of stator currents show that healthy bearing behaviour is circular compared to the faulty bearing's elliptical. The numerical results show that the minimum and maximum envelope of d- and q-components of stator currents is more significant than one. The sum of Kurtosis for the envelope of d- and q-components of stator currents is less than 5.0.

Fault Detection of Induction Motors Using Just In Time Classifiers

2021 ◽  
Author(s):  
Saaeede Hazbavi ◽  
Roozbeh Razavi-Far ◽  
Mohammad Mehdi Arefi ◽  
Alireza Khayatian ◽  
Mehrdad Saif
Keyword(s):  
Fault Detection ◽  
Induction Motors ◽  
Just In Time
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