Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references

The diagnostic of electrical machines is of paramount importance, particularly with the Motor Current Signature Analysis (MCSA) method. MCSA stands out as a potent and non-intrusive tool for evaluating the condition of electric motors. This paper introduces an innovative approach for the diagnosis o...

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Main Authors: Francisco Vedreño Santos, Lucia Frosini, Daniel Moriñigo Sotelo
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:e-Prime: Advances in Electrical Engineering, Electronics and Energy
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772671125000646
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author Francisco Vedreño Santos
Lucia Frosini
Daniel Moriñigo Sotelo
author_facet Francisco Vedreño Santos
Lucia Frosini
Daniel Moriñigo Sotelo
author_sort Francisco Vedreño Santos
collection DOAJ
description The diagnostic of electrical machines is of paramount importance, particularly with the Motor Current Signature Analysis (MCSA) method. MCSA stands out as a potent and non-intrusive tool for evaluating the condition of electric motors. This paper introduces an innovative approach for the diagnosis of rotor asymmetries, broken rotor bars, in induction machines operating in steady state directly fed from the grid, emphasising the decomposition of line currents within specific rotating frames. A novel methodology is proposed, and its results are meticulously compared with those obtained through the conventional Fast Fourier Transform (FFT) diagnostic technique. In particular, the newly introduced methodology exhibits enhanced sensitivity, surpassing the capabilities of conventional FFT. Additionally, the innovative approach is proven to be capable of quantifying the increase in fault harmonics in correlation with the load on the machine, aligning with the results observed through conventional FFT analysis. The findings strongly indicate that this pioneering technique offers a more robust and reliable means of diagnosing induction machines when compared to the traditional FFT method, by enhancing sensitivity and providing a nuanced understanding of fault harmonic variations with load changes.
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institution Kabale University
issn 2772-6711
language English
publishDate 2025-06-01
publisher Elsevier
record_format Article
series e-Prime: Advances in Electrical Engineering, Electronics and Energy
spelling doaj-art-1a121daba2ae4036829776eba7c8a7572025-08-20T03:45:04ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112025-06-011210095710.1016/j.prime.2025.100957Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame referencesFrancisco Vedreño Santos0Lucia Frosini1Daniel Moriñigo Sotelo2School of Computing Engineering and the Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, United Kingdom; Corresponding author.Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, ItalyResearch Group ADIRE-HSPDigital, ITAP Institute, Universidad de Valladolid, 47009 Valladolid, SpainThe diagnostic of electrical machines is of paramount importance, particularly with the Motor Current Signature Analysis (MCSA) method. MCSA stands out as a potent and non-intrusive tool for evaluating the condition of electric motors. This paper introduces an innovative approach for the diagnosis of rotor asymmetries, broken rotor bars, in induction machines operating in steady state directly fed from the grid, emphasising the decomposition of line currents within specific rotating frames. A novel methodology is proposed, and its results are meticulously compared with those obtained through the conventional Fast Fourier Transform (FFT) diagnostic technique. In particular, the newly introduced methodology exhibits enhanced sensitivity, surpassing the capabilities of conventional FFT. Additionally, the innovative approach is proven to be capable of quantifying the increase in fault harmonics in correlation with the load on the machine, aligning with the results observed through conventional FFT analysis. The findings strongly indicate that this pioneering technique offers a more robust and reliable means of diagnosing induction machines when compared to the traditional FFT method, by enhancing sensitivity and providing a nuanced understanding of fault harmonic variations with load changes.http://www.sciencedirect.com/science/article/pii/S2772671125000646Broken rotor barsFault diagnosisInduction machinesMotor current signature analysisMCSARotor asymmetry
spellingShingle Francisco Vedreño Santos
Lucia Frosini
Daniel Moriñigo Sotelo
Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references
e-Prime: Advances in Electrical Engineering, Electronics and Energy
Broken rotor bars
Fault diagnosis
Induction machines
Motor current signature analysis
MCSA
Rotor asymmetry
title Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references
title_full Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references
title_fullStr Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references
title_full_unstemmed Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references
title_short Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references
title_sort diagnosis of rotor asymmetries in induction motors a steady state approach using rotating frame references
topic Broken rotor bars
Fault diagnosis
Induction machines
Motor current signature analysis
MCSA
Rotor asymmetry
url http://www.sciencedirect.com/science/article/pii/S2772671125000646
work_keys_str_mv AT franciscovedrenosantos diagnosisofrotorasymmetriesininductionmotorsasteadystateapproachusingrotatingframereferences
AT luciafrosini diagnosisofrotorasymmetriesininductionmotorsasteadystateapproachusingrotatingframereferences
AT danielmorinigosotelo diagnosisofrotorasymmetriesininductionmotorsasteadystateapproachusingrotatingframereferences