Prony Method Estimation as a New Approach for Surge Comparison Testing in Turn Insulation Diagnostics for Three Phase Stator Windings

Trujillo Guajardo, Luis Alonso y Rodríguez Alfaro, Luis Humberto y Rodríguez Maldonado, Johnny y González Vázquez, Mario Alberto y Salinas Salinas, Fernando y Shih, Meng Yen (2023) Prony Method Estimation as a New Approach for Surge Comparison Testing in Turn Insulation Diagnostics for Three Phase Stator Windings. Machines, 11 (2). pp. 1-19. ISSN 2075-1702

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Resumen

This article presents an evaluation of Prony method estimation and its implementation considerations for surge comparison test application in turn insulation diagnostics for three-phase stator windings. Surge testing diagnostics compares recorded surge voltage signals of motor winding, and a diagnostic is then defined with a defined value of EAR (error area ratio), which evaluates the difference between signals to determine a turn insulation diagnostic. First, an overview of surge testing is presented. Next, the Prony method and the considerations for its implementation in surge testing are described. Then, a numerical simulation is used to define a simulated turn fault surge voltage signal, where its parameters can be obtained with Prony method estimation and compared with EAR to evaluate its performance. Lastly, recorded surge test signals from two tested motors are used to validate Prony method estimation application for surge test diagnostics, where twelve recorded surge signals for no-fault and fault conditions were analyzed. The summary results of the surge signals parameter estimation are presented in the results and discussion section.

Tipo de elemento: Article
Palabras claves no controlados: Relación de área de error; Método prony; Señales de picos de tensión; Diagnóstico de prueba de sobretensión
Materias: T Tecnología > TJ Ingeniería Mecánica
Divisiones: Ingeniería Mecánica y Eléctrica
Usuario depositante: Editor Repositorio
Creadores:
CreadorEmailORCID
Trujillo Guajardo, Luis AlonsoNO ESPECIFICADONO ESPECIFICADO
Rodríguez Alfaro, Luis HumbertoNO ESPECIFICADONO ESPECIFICADO
Rodríguez Maldonado, Johnnyjohnny.rodriguezml@uanl.edu.mxNO ESPECIFICADO
González Vázquez, Mario AlbertoNO ESPECIFICADONO ESPECIFICADO
Salinas Salinas, FernandoNO ESPECIFICADONO ESPECIFICADO
Shih, Meng YenNO ESPECIFICADONO ESPECIFICADO
Fecha del depósito: 28 Jun 2023 19:05
Última modificación: 28 Jun 2023 19:05
URI: http://eprints.uanl.mx/id/eprint/25649

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