Evidence map›Paper›PMID 40871976›Full record

ArticleSensors (Basel, Switzerland)2025

A Novel Multi-Core Parallel Current Differential Sensing Approach for Tethered UAV Power Cable Break Detection.

Ziqiao Chen, Zifeng Luo, Ziyan Wang, Zhou Huang, Yongkang He, Zhiheng Wen, Yuanjun Ding, Zhengwang Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

8 authors.

Ziqiao ChenDetroit Green Technology Institute, Hubei University of Technology, Wuhan 430068, China.
Zifeng LuoSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China.
Ziyan WangSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China.
Zhou HuangSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China.
Yongkang HeSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China.
Zhiheng WenSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China.
Yuanjun DingSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China.
Zhengwang XuSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China.ORCID 0000-0001-8791-7214

Funding

National College Student Innovation and Entrepreneurship Training Program 202410500038
6 · The paper itself

Abstract

Tethered unmanned aerial vehicles (UAVs) operating in terrestrial environments face critical safety challenges from power cable breaks, yet existing solutions-including fiber optic sensing (cost > USD 20,000) and impedance analysis (35% payload increase)-suffer from high cost or heavy weight. This study proposes a dual innovation: a real-time break detection method and a low-cost multi-core parallel sensing system design based on ACS712 Hall sensors, achieving high detection accuracy (100% with zero false positives in tests). Unlike conventional techniques, the approach leverages current differential (

Indexed as

ACS712 sensorcable break detectioncurrent differential sensingmulti-core paralleltethered UAV

Identifiers

PMID40871976
PMCPMC12390089

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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.