Publication detail

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

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

Original Title

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

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

10. 11. 2021

Publisher

MDPI

ISBN

2075-1702

Periodical

Machines

Year of study

9

Number

11

State

Swiss Confederation

Pages from

1

Pages to

13

Pages count

13

URL

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

Full text in the Digital Library

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"
}