Low-cost DSP-based vibration data acquisition system for bearing fault detection in electric motors

https://doi.org/10.58571/CNCA.AMCA.2022.032

Resumen: This paper presents a low-cost DSP-based vibration data acquisition system with a high data storage capacity for fault detection in electric motors. An outer race bearing fault detection case study for a three-phase induction machine using vibration signals provided by the DSP-based acquisition system from a test rig is detailed. The fault detection scheme is performed based on Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT).

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Villalobos-Piña, F.J., Alvarez-Salas, R., Gonzalez-Garcia, M.A., Reyes-Malanche, J.A., Saucedo-Zarate, C.H. & Gonzalez-Murillo, L.A. Low-cost DSP-based vibration data acquisition system for bearing fault detection in electric motors. Memorias del Congreso Nacional de Control Automático, pp. 398-403, 2022. https://doi.org/10.58571/CNCA.AMCA.2022.032

Palabras clave

Detección y Aislamiento de Fallas; Sistemas Electromecánicos

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