Evidence map›Paper›PMID 41947807›Full record

ArticleHardwareX2026

NeuraEngineDx: An IoT condition monitoring device for Small-Scale fishing vessel engines.

Yuniar Endri Priharanto, Indra Jaya, Ayi Rahmat, Medria Kusuma Dewi Hardhienata, Donwill Panggabean

Abstract read
In one paragraph

Article in HardwareX, 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

5 authors.

Yuniar Endri PriharantoDepartment of Marine Science and Technology, IPB University, Bogor, Indonesia.
Indra JayaDepartment of Marine Science and Technology, IPB University, Bogor, Indonesia.
Ayi RahmatDepartment of Marine Science and Technology, IPB University, Bogor, Indonesia.
Medria Kusuma Dewi HardhienataSchool of Data Science, Mathematics and Informatics, IPB University, Bogor, Indonesia.
Donwill PanggabeanDepartment of Postgraduate School, Universitas Terbuka, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NeuraEngineDx is a multi-sensor device to monitor condition of small-scale fishing vessel engines and is intended for IoT-based condition maintenance applications. The system integrates temperature sensor, vibration, sound and an infrared sensor, with an RTC DS3231 module for precise time-stamping. Data are collected in real time, logged to a MicroSD card, and can be transmitted to a cloud server via internet connectivity for remote analysis and condition monitoring. The enclosure is 3D-printed using Nylon Carbon (PA6-CF) to withstand high temperatures and harsh field conditions, while the circuit board is manufactured using FR4 material to ensure electrical stability. Performance validation against reference instruments demonstrated high metrological integrity, particularly for temperature and rotational speed, with R

Indexed as

Condition MaintenanceEngine MonitoringMulti-sensorsNeuraEngineDxSmall-scale Fisheries

Identifiers

PMID41947807
PMCPMC13051961

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.