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A Review of Broadband Frequency Techniques for Insulation Monitoring and Diagnosis in Rotating Electrical Machines

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dc.contributor.author Ruiz-Sarrio, Jose E. es_ES
dc.contributor.author Antonino-Daviu, Jose A. es_ES
dc.contributor.author Navarro-Navarro, Ángela es_ES
dc.contributor.author Biot-Monterde, Vicente es_ES
dc.date.accessioned 2025-02-28T08:38:20Z
dc.date.available 2025-02-28T08:38:20Z
dc.date.issued 2024-08 es_ES
dc.identifier.issn 0093-9994 es_ES
dc.identifier.uri http://hdl.handle.net/10251/214931
dc.description.abstract [EN] Rotating electrical machines greatly suffer from insulation degradation and failure. The adoption of wide bandgap semiconductors in Variable-Frequency Drives (VFDs) hinder the utilization of traditional techniques such as on-line Partial Discharges (PD) to monitor and diagnose the insulation status and failure. Alternative techniques exploiting the broadband frequency behaviour of machine windings, and the increased high-frequency content of VFD excitation arise as a valid alternative. The present work provides a comprehensive analysis and review of cutting-edge broadband frequency techniques aimed to diagnose winding insulation degradation and faults. First, the broadband nature of machine windings is illustrated by explaining the per-turn equivalent circuit and the physical interpretation of its parameters. Then, the different insulation monitoring and diagnosis methods are thoroughly reviewed. The analysed methods include the Frequency Response Analysis (FRA) applied to rotating electrical machines, the analysis of Common Mode (CM) broadband impedance and parasitic capacitances, and methodologies based on the analysis of transient high-frequency current ringing. Specific focus is placed on the instrumentation, which often represents the main applicability limitations. es_ES
dc.description.sponsorship This work was supported by the European Commission (HORIZON Program) within the context of the DITARTIS Project Network of Excellence in Digital Technologies and AI Solutions for Electromechanical and Power Systems Applications, through the Call HORIZON-WIDERA-2021-ACCESS-03 under Grant 101079242. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Transactions on Industry Applications es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Insulation es_ES
dc.subject Condition monitoring es_ES
dc.subject Predictive maintenance es_ES
dc.subject AC machines es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title A Review of Broadband Frequency Techniques for Insulation Monitoring and Diagnosis in Rotating Electrical Machines es_ES
dc.type Artículo es_ES
dc.type Artículo de revisión
dc.identifier.doi 10.1109/TIA.2024.3384454 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/HE/101079242/EU/Network of Excellence in Digital Technologies and AI Solutions for Electromechanical and Power Systems Applications/DiTArtIS es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.description.bibliographicCitation Ruiz-Sarrio, JE.; Antonino-Daviu, JA.; Navarro-Navarro, Á.; Biot-Monterde, V. (2024). A Review of Broadband Frequency Techniques for Insulation Monitoring and Diagnosis in Rotating Electrical Machines. IEEE Transactions on Industry Applications. 60(4):6092-6102. https://doi.org/10.1109/TIA.2024.3384454 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1109/TIA.2024.3384454 es_ES
dc.description.upvformatpinicio 6092 es_ES
dc.description.upvformatpfin 6102 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 60 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\512704 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
upv.costeAPC 1729 es_ES


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