4.7 Article

Optimization of Low-Cost Data Acquisition Equipment Applied to Bearing Condition Monitoring

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MATHEMATICS
卷 11, 期 16, 页码 -

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MDPI
DOI: 10.3390/math11163498

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data acquisition systems; condition monitoring; bearing diagnostics; vibration analysis; Raspberry Pi

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This study optimized the performance of low-cost data acquisition equipment to achieve a sampling rate of 200 kHz. This was achieved by considering the influence of the power source and changing the data type used. The equipment was validated by successfully identifying frequency components in known waves and damaged bearing components, demonstrating its viability for monitoring bearing condition.
The development of low-cost data acquisition equipment is relevant in the increasingly automated industry of today. This study presents the optimization of low-cost data acquisition equipment performance to achieve acquisition speeds of 200 kHz. This was possible by evaluating two essential aspects: considering the influence of the power supplied by the power source and changing the type of data used from Double to uint. This equipment was validated through the acquisition of known waves and vibration signals from a bearing test bench. The frequency component was satisfactorily identified in each case, for both the known waves and the damaged bearing components. This demonstrated the viability of developing low-cost data acquisition equipment that can be implemented to monitor bearing condition.

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