A Zynq-Based Triaxial Vibration Sensing Station with GPS-Disciplined Timing.

Xiyuan Zhang, Yongqing Wang, Qisheng Zhang, Mingwei Qi, Jinhang Zhang, Jingwen Zhang, Xiaochang Liu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Xiyuan ZhangKey Laboratory of Intraplate Volcanoes and Earthquakes, School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China.

Yongqing WangKey Laboratory of Intraplate Volcanoes and Earthquakes, School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China.

Qisheng ZhangKey Laboratory of Intraplate Volcanoes and Earthquakes, School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China.

Mingwei QiKey Laboratory of Intraplate Volcanoes and Earthquakes, School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China.

Jinhang ZhangKey Laboratory of Intraplate Volcanoes and Earthquakes, School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China.

Jingwen ZhangKey Laboratory of Intraplate Volcanoes and Earthquakes, School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China.

Xiaochang LiuKey Laboratory of Intraplate Volcanoes and Earthquakes, School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China.

Funding

Deep Earth Probe and Mineral Resources Exploration National Science and Technology Major Project grant numbers 2024ZD1000800 and 2024ZD1000805

6 · The paper itself

Abstract

Deep drilling equipment operates under high-load, strong-vibration, intermittent-impact, and variable environmental conditions, which motivate sensing systems that provide low-noise acquisition, synchronized triaxial measurements, local data integrity, and quantitative measurement-chain characterization. This paper presents a Zynq UltraScale+ MPSoC-based triaxial vibration sensing station for deep drilling equipment applications. The modular station integrates conditioned-voltage triaxial accelerometer interfaces, analog signal conditioning, 24-bit simultaneous analog-to-digital conversion, electrical isolation, local solid-state-drive storage, Ethernet/wireless communication, and GPS-disciplined oven-controlled crystal oscillator (OCXO) timing. The programmable logic performs deterministic acquisition, GPS pulse processing, oscillator calibration, and DMA transfer, while the processing system facilitates storage, network communication, device-state management, and host computer interaction. The sensing electronics are evaluated through zero-input noise, an experiment-specific input-amplitude-to-noise ratio, gain linearity, thermal stability, repeatability, and station-to-station local-PPS timing tests. The characterized electronics achieve a mean equivalent input noise of 0.31 microvolts, a test-derived ratio of 135.08 dB, and a mean station-to-station local-PPS falling-edge difference of 0.34 microseconds. A lightweight post-acquisition interpretation workflow using learnable multichannel weighted fusion, a convolutional autoencoder, a training-distribution-based quantile threshold, and an auxiliary classification branch achieves 0.9705 accuracy and 0.9704 F1-score on a public triaxial bearing dataset under the reported protocol. A crane-based experiment evaluates deployment feasibility and the sensing-analysis workflow using controlled operating events and a removable stationary mass disturbance. The results provide an engineering sensing basis for distributed monitoring studies on deep drilling equipment.

Indexed as

condition monitoringdeep drilling equipmentembedded sensingGPS-disciplined OCXOtime synchronizationtriaxial acquisitionvibration sensor systemZynq MPSoC

Identifiers

PMID42655399

DOI10.3390/s26165089

PMCPMC13517520

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.