Evidence map›Paper›PMID 42076628›Full record

ArticleSensors (Basel, Switzerland)2026

System-Level Offline Time Synchronization Architecture for Distributed Electrical Signal Monitoring Using Raspberry Pi 5.

Adriana Burlibaşa, Silviu Epure, Mihai Culea, Cristinel Radu Dache, Cristian Victor Lungu, George-Andrei Marin, Ciprian Vlad

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Adriana BurlibaşaDepartment of Electrical Engineering and Energy Conversion Systems, Faculty of Automation, Computers, Electrical and Electronics Engineering, Dunărea de Jos University of Galati, 800008 Galati, Romania.
Silviu EpureDepartment of Electronics, Faculty of Automation, Computers, Electrical and Electronics Engineering, Dunărea de Jos University of Galati, 800008 Galati, Romania.ORCID 0000-0001-9295-1783
Mihai CuleaDepartment of Information Technology and Computer Science, Faculty of Automation, Computers, Electrical and Electronics Engineering, Dunărea de Jos University of Galati, 800008 Galati, Romania.
Cristinel Radu DacheDepartment of Electrical Engineering and Energy Conversion Systems, Faculty of Automation, Computers, Electrical and Electronics Engineering, Dunărea de Jos University of Galati, 800008 Galati, Romania.
Cristian Victor LunguDepartment of Electrical Engineering and Energy Conversion Systems, Faculty of Automation, Computers, Electrical and Electronics Engineering, Dunărea de Jos University of Galati, 800008 Galati, Romania.
George-Andrei MarinDepartment of Electrical Engineering and Energy Conversion Systems, Faculty of Automation, Computers, Electrical and Electronics Engineering, Dunărea de Jos University of Galati, 800008 Galati, Romania.ORCID 0009-0006-5205-132X
Ciprian VladDepartment of Electrical Engineering and Energy Conversion Systems, Faculty of Automation, Computers, Electrical and Electronics Engineering, Dunărea de Jos University of Galati, 800008 Galati, Romania.ORCID 0000-0003-2545-3391

Funding

"Dunarea de Jos" University of Galati 7953/31.03.2025
6 · The paper itself

Abstract

Accurate time synchronization is essential in distributed electrical signal monitoring, where phase coherence and event correlation depend on precise timing agreement between acquisition nodes. Conventional approaches often rely on a single synchronization source, typically internet-based Network Time Protocol (NTP) or GPS-disciplined clocks, which is impractical in isolated, offline, or cost-sensitive scenarios. This paper introduces an autonomous offline synchronization architecture for multi-node monitoring systems built on Raspberry Pi 5 (RPI5) platforms connected to a private Ethernet network. Instead of depending on one timing method, the system integrates several complementary mechanisms: battery-backed RTC persistence via the J5 interface, deterministic orchestration through systemd services, automated boot time recovery, chrony-managed NTP discipline, and Precision Time Protocol (PTP) hardware timestamping using PTP Hardware Clock (PHC). Synchronization performance is validated through continuous multi-day measurements of long-term stability, inter-node phase coherence, and short-term jitter. Controlled power-loss scenarios are also included to verify recovery behavior. The system maintains sub-microsecond alignment between nodes using only commodity hardware and no external time source. To further confirm inter-node timestamp alignment at the signal level, both hardware-based reference signal injection and software-based synchronized signal emulation are employed, providing ground-truth validation alongside scalable and reproducible evaluation. The results show that low-cost embedded hardware can support reliable, long-duration synchronization in fully offline installations.

Indexed as

chronymulti-sourcesofflinePHCPTPRaspberry PiRTCsynchronized

Identifiers

PMID42076628
PMCPMC13120462

What OpenQuestion holds

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Registered trials

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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.