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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2347| FPGA-Based Broken Bars Detection on Induction Motors Under Different Load Using Motor Current Signature Analysis and Mathematical Morphology | |
| José de Jesús Rangel Magdaleno Hayde Peregrina Barreto JUAN MANUEL RAMIREZ CORTES María del Pilar Gómez Gil ROBERTO MORALES CAPORAL | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Broken bars Fault diagnosis FPGA Mathematical morphology MCSA | |
| Broken bars detection on induction motors has been a topic of interest in recent years. Its detection is important due to the fact that the failure is silent and the consequences it produces as power consumption increasing, vibration, introduction of spurious frequencies in the electric line, among others, can be catastrophic. In this paper, the use of motor current signature analysis and mathematical morphology to detect broken bars on induction motors under different mechanical load condition is analyzed. The proposed algorithm first identifies the motor load and then the motor condition. The statistical analysis of several tests under different motor loads (100%, 75%, 50%, and 25%) and motor condition (healthy, one broken bar, and two broken bars) is presented. The proposed method has been implemented in a field programmable gate array, to be used in real-time online applications. The algorithm obtained in average a 95% accuracy of failure detection. | |
| IEEE | |
| 2013 | |
| Artículo | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Rangel, J.J., et al., (2013). FPGA-Based Broken Bars Detection on Induction Motors Under Different Load Using Motor Current Signature Analysis and Mathematical Morphology, IEEE Transactions on Instrumentation and Measurement, Vol. 63 (5): 1032-1040 | |
| CIENCIA DE LOS ORDENADORES | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Artículos de Ciencias Computacionales |
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