Evaluation of FMCW Radar for Vibration Sensing in Industrial Environments

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

13 Citations (Scopus)

Abstract

In industrial environments the operating time of equipment is a critical factor. Through predicitve maintenance the necessary inspection tasks that require machine downtimes are minimized. For industrial fans that evacuate very hot mediums or air with a high content of abrasive dust or particulates there is currently no possibility to reliably sense the wear and tear of the fan blades during operation. This work investigates the use of a radar sensor for estimating the wear of such fans by sensing vibrations and rotational imbalances. For this task a frequency modulated continuous wave (FMCW) radar sensor is evaluated and suitable signal processing algorithms are developed to extract the desired information. Furthermore, the optimal sensing position, modulation waveform and fan optimizations are considered. This paper focuses on the basic signal processing techniques necessary as well as the measurement setup, simulations and first measurement evaluations.

Original languageEnglish
Title of host publication2019 29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 - Microwave and Radio Electronics Week, MAREW 2019
PublisherCurran Associates, Inc.
ISBN (Electronic)9781538693223
DOIs
Publication statusPublished - Apr 2019
Event29th International Conference Radioelektronika (RADIOELEKTRONIKA) - Pardubice, Czech Republic
Duration: 16 Apr 201918 Apr 2019

Publication series

Name2019 29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 - Microwave and Radio Electronics Week, MAREW 2019

Conference

Conference29th International Conference Radioelektronika (RADIOELEKTRONIKA)
Country/TerritoryCzech Republic
CityPardubice
Period16.04.201918.04.2019

Keywords

  • Direction of arrival estimation
  • FMCW
  • Micro-doppler
  • Milimeter wave
  • Predictive maintenance
  • Radar signal processing
  • Vibration sensing

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