Evidence map›Paper›PMID 31035629›Full record

ArticleSensors (Basel, Switzerland)2019

Capillary Sensor with Disposable Optrode for Diesel Fuel Quality Testing.

Michal Borecki, Przemyslaw Prus, Michael L Korwin-Pawlowski

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 12 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

3 authors at 3 institutions in 2 countries.

Michal BoreckiInstitute of Microelectronics and Optoelectronics, Warsaw University of Technology, 00-662 Warsaw, Poland. borecki@imio.pw.edu.pl.ORCID 0000-0002-0758-6783
Przemyslaw PrusBlue Oak Inventions, 56-400 Wroclaw, Poland. pprus@boinv.com.
Michael L Korwin-PawlowskiDépartement d'informatique et d'ingénierie, Université du Québec en Outaouais, Gatineau, QC J8X 3X7, Canada. michael.korwin-pawlowski@uqo.ca.
Robotics Inventions (Poland) · PLUniversité du Québec en Outaouais · CAWarsaw University of Technology · PL

Funding

Politechnika Warszawska 8956/E-365/S/2018
6 · The paper itself

Abstract

Diesel fuel quality can be considered from many different points of view. Fuel producers, fuel consumers, and ecologists have their own ideas. In this paper, a sensor of diesel fuel quality type, and fuel condition that is oriented to the fuel's consumers, is presented. The fuel quality types include premium, standard, and full bio-diesel classes. The fuel conditions include fuel fit for use and fuel degraded classes. The classes of fuel are connected with characteristics of engine operation. The presented sensor uses signal processing of an optoelectronic device monitoring fuel samples that are locally heated to the first step of boiling. Compared to previous works which consider diesel fuel quality sensing with disposable optrodes which use a more complex construction, the sensor now consists only of a capillary probe and advanced signal processing. The signal processing addresses automatic conversion of the data series to form a data pattern, estimates the measurement uncertainty, eliminates outlier data, and determines the fuel quality with an intelligent artificial neural network classifier. The sensor allows the quality classification of different unknown diesel fuel samples in less than a few minutes with the measurement costs of a single disposable capillary probe and two plugs.

Indexed as

artificial neural network classifiercapillary sensordiesel fuel qualitydiesel fuel userfeature vector of diesel fueloutlier datasensor automation

Identifiers

PMID31035629
PMCPMC6539829
OpenAlexW2940765313

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.