Evidence map›Paper›PMID 32326651›Full record

ArticleSensors (Basel, Switzerland)2020

A UAV-Based Framework for Semi-Automated Thermographic Inspection of Belt Conveyors in the Mining Industry.

Regivaldo Carvalho, Richardson Nascimento, Thiago D'Angelo, Saul Delabrida, Andrea G C Bianchi, Ricardo A R Oliveira, Héctor Azpúrua, Luis G Uzeda Garcia

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 53 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Regivaldo CarvalhoInstituto Tecnológico Vale (ITV), Ouro Preto 35.400-000, MG, Brazil.ORCID 0000-0002-2387-3117
Richardson NascimentoInstituto Tecnológico Vale (ITV), Ouro Preto 35.400-000, MG, Brazil.ORCID 0000-0003-0685-4229
Thiago D'AngeloComputing Department (DECOM), Federal University of Ouro Preto (UFOP), Ouro Preto 35.400-000, MG, Brazil.
Saul DelabridaComputing Department (DECOM), Federal University of Ouro Preto (UFOP), Ouro Preto 35.400-000, MG, Brazil.ORCID 0000-0002-8961-5313
Andrea G C BianchiComputing Department (DECOM), Federal University of Ouro Preto (UFOP), Ouro Preto 35.400-000, MG, Brazil.ORCID 0000-0001-7949-1188
Ricardo A R OliveiraComputing Department (DECOM), Federal University of Ouro Preto (UFOP), Ouro Preto 35.400-000, MG, Brazil.
Héctor AzpúruaInstituto Tecnológico Vale (ITV), Ouro Preto 35.400-000, MG, Brazil.ORCID 0000-0002-4182-2540
Luis G Uzeda GarciaInstituto Tecnológico Vale (ITV), Ouro Preto 35.400-000, MG, Brazil.ORCID 0000-0002-0947-6852
Universidade Federal de Ouro Preto · BRVale Technological Institute · BR

Funding

Instituto Tecnológico Vale (ITV) 02306
6 · The paper itself

Abstract

Frequent and accurate inspections of industrial components and equipment are essential because failures can cause unscheduled downtimes, massive material, and financial losses or even endanger workers. In the mining industry, belt idlers or rollers are examples of such critical components. Although there are many precise laboratory techniques to assess the condition of a roller, companies still have trouble implementing a reliable and scalable procedure to inspect their field assets. This article enumerates and discusses the existing roller inspection techniques and presents a novel approach based on an Unmanned Aerial Vehicle (UAV) integrated with a thermal imaging camera. Our preliminary results indicate that using a signal processing technique, we are able to identify roller failures automatically. We also proposed and implemented a back-end platform that enables field and cloud connectivity with enterprise systems. Finally, we have also cataloged the anomalies detected during the extensive field tests in order to build a structured dataset that will allow for future experimentation.

Indexed as

computer visionconveyor beltidler rollersmaintenancethermographyUAV inspection

Identifiers

PMID32326651
PMCPMC7218908
OpenAlexW3017150353

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.