Evidence map›Paper›PMID 33114774›Full record

ArticleSensors (Basel, Switzerland)2020

Application of Wireless Accelerometer Mounted on Wheel Rim for Parked Car Monitoring.

Michal Borecki, Arkadiusz Rychlik, Arkadiusz Olejnik, Przemysław Prus, Jan Szmidt, Michael L Korwin-Pawlowski

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Michal BoreckiInstitute of Microelectronics and Optoelectronics, Warsaw University of Technology, 00-662 Warszawa, Poland.ORCID 0000-0002-0758-6783
Arkadiusz RychlikFaculty of Technical Sciences, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.ORCID 0000-0003-4199-8770
Arkadiusz OlejnikFaculty of Technical Sciences, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.
Przemysław PrusBlue Oak Inventions, 56-400 Wroclaw, Poland.
Jan SzmidtInstitute of Microelectronics and Optoelectronics, Warsaw University of Technology, 00-662 Warszawa, Poland.
Michael L Korwin-PawlowskiDépartement d'informatique et d'ingénierie, Université du Québec en Outaouais, Gatineau, QC J8X 3X7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Damages of different kinds that can be inflicted to a parked car. Among them, loosening of the car wheel bolts is difficult to detect during normal use of the car and is at the same time very dangerous to the health and life of the driver. Moreover, in patents and publications, only little information is presented about electronic sensors available for activation from inside of the car to inform the driver about the mentioned dangerous situation. Thus, the main aim of this work is the proposition and examination of a sensing device using of a wireless accelerometer head to detect loosening of wheel fixing bolts before ride has been started. The proposed sensing device consists of a wireless accelerometer head, an assembly interface and a receiver unit. The assembly interface between the head and the inner part of the rim enables the correct operation of the system. The data processing algorithm developed for the receiver unit enables the proper detection of the unscrewing of bolts. Moreover, the tested algorithm is resistant to the interference signals generated in the accelerometer head by cars and men passing in close distance.

Indexed as

3D accelerometer applicationadaptive signal classifierattack on car wheelscar rim wireless sensingcar wheels monitoringsafety of car use

Identifiers

PMID33114774
PMCPMC7662569

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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.