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A New MSCSA Technique for Induction Motor Diagnosis Based on the Park Transform Approach

2026-07-28Artigo científico Acesso aberto
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dc.contributor.authorPires, Vitor Fernão
dc.contributor.authorSalatiel, Paulo
dc.contributor.authorCordeiro, Armando
dc.contributor.authorFoito, Daniel
dc.contributor.authorPires, Armando J.
dc.contributor.authorMartins, João F. A.
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2026-09-14T16:57:01Z
dc.date.available2026-09-14T16:57:01Z
dc.date.issued2026-07-28
dc.descriptionPublisher Copyright: © 2026 by the authors.
dc.description.abstractInduction machines play a crucial role in industrial applications, making preventive maintenance combined with fault diagnosis techniques essential for ensuring reliable operation. One of the most widely used diagnostic methods for induction machines is Motor Current Signature Analysis (MCSA). However, this technique has certain limitations, particularly in the detection of incipient or small faults. Another well-established technique is Motor Square Current Signature Analysis (MSCSA), which overcomes some of the limitations of MCSA by extracting additional fault-related information from the motor current signals. This paper proposes a new diagnostic technique, designated MSCSA-APT (Motor Square Current Signature Analysis–Alternative Park Transform), based on the spectral analysis of motor currents. Compared with the conventional MSCSA method, the proposed approach provides additional information from the frequency-domain analysis, thereby improving fault detection capability. The method is based on the square of the motor square current signal and employs an Alternative Park Transform (APT) to enhance the extraction of fault signatures. Simulation and experimental results are presented to validate the proposed approach. Although the method has been evaluated for the identification of different types of faults, it is particularly effective in detecting stator short-circuit faults.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent31
dc.format.extent5493652
dc.identifier.doi10.3390/electronics15153323
dc.identifier.issn2079-9292
dc.identifier.otherPURE: 172751533
dc.identifier.otherPURE UUID: 8b6ff164-2d74-475a-aa0a-ecc6d51faa73
dc.identifier.otherScopus: 105047212391
dc.identifier.otherWOS: 001846721000001
dc.identifier.urihttp://hdl.handle.net/10362/206374
dc.identifier.urlhttps://www.scopus.com/pages/publications/105047212391
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001846721000001
dc.language.isoeng
dc.peerreviewedyes
dc.subjectAlternative park transform
dc.subjectDiagnosis
dc.subjectFault detection
dc.subjectInduction motor
dc.subjectMCSA
dc.subjectMSCSA
dc.subjectMSCSA-APT
dc.subjectStator currents
dc.subjectControl and Systems Engineering
dc.subjectSignal Processing
dc.subjectHardware and Architecture
dc.subjectComputer Networks and Communications
dc.subjectElectrical and Electronic Engineering
dc.titleA New MSCSA Technique for Induction Motor Diagnosis Based on the Park Transform Approachen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue15
degois.publication.lastPage31
degois.publication.titleElectronics (Switzerland)
degois.publication.volume15
dspace.entity.typePublication
rcaap.rightsopenAccess

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