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Broken Rotor Bar Detection Based on Steady-State Stray Flux Signals Using Triaxial Sensor with Random Positioning.
Zubcic, Marko; Pavic, Ivan; Matic, Petar; Polak, Adam.
Afiliación
  • Zubcic M; Faculty of Maritime Studies, University of Split, Rudera Boskovica 37, 21000 Split, Croatia.
  • Pavic I; Faculty of Maritime Studies, University of Split, Rudera Boskovica 37, 21000 Split, Croatia.
  • Matic P; Faculty of Maritime Studies, University of Split, Rudera Boskovica 37, 21000 Split, Croatia.
  • Polak A; Faculty of Mechanical and Electrical Engineering Polish Naval Academy, ul. Smidowicza 69, 81-127 Gdynia, Poland.
Sensors (Basel) ; 24(10)2024 May 12.
Article en En | MEDLINE | ID: mdl-38793932
ABSTRACT
This paper investigates the detection of broken rotor bar in squirrel cage induction motors using a novel approach of randomly positioning a triaxial sensor over the motor surface. This study is conducted on two motors under laboratory conditions, where one motor is kept in a healthy state, and the other is subjected to a broken rotor bar (BRB) fault. The induced electromotive force of the triaxial coils, recorded over ten days with 100 measurements per day, is statistically analyzed. Normality tests and graphical interpretation methods are used to evaluate the data distribution. Parametric and non-parametric approaches are used to analyze the data. Both approaches show that the measurement method is valid and consistent over time and statistically distinguishes healthy motors from those with BRB defects when a reference or threshold value is specified. While the comparison between healthy motors shows a discrepancy, the quantitative analysis shows a smaller estimated difference in mean values between healthy motors than comparing healthy and BRB motors.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Croacia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Croacia Pais de publicación: Suiza