Detail publikace

Contactless Fault Detection of a DC Motor Direction of Rotation Using Its Stray Magnetic Field

MATĚJÁSKO, M. BRABLC, M. APPEL, M. GREPL, R.

Originální název

Contactless Fault Detection of a DC Motor Direction of Rotation Using Its Stray Magnetic Field

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

In large-scale manufacturing and assembly applications, especially when trying to automate most steps, implementing quality control as early in the process as possible is the key to prevent expenses later. We deal mainly with the production of DC motor powered fuel pumps, which are commonly used in the automotive industry. The goal of this paper is to present a newly developed technique for non-invasive fault detection of a DC motor’s direction of rotation using a stray magnetic field out of the motor chassis. The results presented in this paper show that it is possible to detect faults even on low-power motors while the algorithm is kept as simple as possible to allow for large-scale deployment on a production line. It also gives new insight into the behavior of the stray magnetic field of electric motors, which may benefit other applications and future research.

Klíčová slova

fault detection; fault diagnosis; non-invasive; DC motor; direction of rotation; stray magnetic field; magnetic flux density; automation; fuel pump; automotive; manufacturing; quality control

Autoři

MATĚJÁSKO, M.; BRABLC, M.; APPEL, M.; GREPL, R.

Vydáno

10. 11. 2021

Nakladatel

MDPI

ISSN

2075-1702

Periodikum

Machines

Ročník

9

Číslo

11

Stát

Švýcarská konfederace

Strany od

1

Strany do

13

Strany počet

13

URL

https://www.mdpi.com/2075-1702/9/11/281

Plný text v Digitální knihovně

http://hdl.handle.net/11012/203229

BibTex

@article{BUT175189,
  author="Michal {Matějásko} and Martin {Brablc} and Martin {Appel} and Robert {Grepl}",
  title="Contactless Fault Detection of a DC Motor Direction of Rotation Using Its Stray Magnetic Field",
  journal="Machines",
  year="2021",
  volume="9",
  number="11",
  pages="1--13",
  doi="10.3390/machines9110281",
  issn="2075-1702",
  url="https://www.mdpi.com/2075-1702/9/11/281"
}