2024
DOI: 10.3390/electronics13071187
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A Fully Programmable DAQ Board of Vibrational Signals from IEPE Sensors: Hardware and Software Design, Performance Analysis

Roberto De Fazio,
Lorenzo Spongano,
Arcangelo Messina
et al.

Abstract: Vibration analysis is commonly used to assess machinery conditions, earthquake detection, and structural monitoring. Commercially available DAQs (Data Acquisition Systems) feature high costs and limited versatility in terms of end-user hardware/firmware customization, making it difficult to adapt them to the input signal features and add supplementary functionalities. Hence, this research aims to develop a custom acquisition board for detecting vibration signals via IEPE (Integrated Electronic Piezoelectric) s… Show more

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Cited by 3 publications
(2 citation statements)
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“…However, the sampling rate of the acquisition board is also at a low-speed level, which can only satisfy the general civilian measurement requirement and has significant room for improvement. In 2024, Roberto De Fazio and others designed a vibration signal acquisition platform using STM32F4 MCU and external ADCs [16], but it only has two channels and cannot satisfy the multi-channel signal acquisition requirement. All of the above mainstream acquisition boards are designed for voltage signals.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, the sampling rate of the acquisition board is also at a low-speed level, which can only satisfy the general civilian measurement requirement and has significant room for improvement. In 2024, Roberto De Fazio and others designed a vibration signal acquisition platform using STM32F4 MCU and external ADCs [16], but it only has two channels and cannot satisfy the multi-channel signal acquisition requirement. All of the above mainstream acquisition boards are designed for voltage signals.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, 12-bit acquisition is used to meet the fiber signal demodulation requirements. Without oversampling, the signal-to-noise ratio of the quantized ADC can be calculated by Formula (16).…”
Section: Analysis Of Noise Introduced Into a Signal Linkmentioning
confidence: 99%