Review of Torsional Vibration Measurement Methods

Abdool Sattar Cassim, Daniel Makundwaneyi Madyira, Ronny Thapelo Tebeta

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

Abstract

Torsional vibrations are unwanted phenomena induced by varying torque in power transmission systems. This paper reviewed the various types of torsional vibration measurement systems, that being strain gauges, accelerometers, Laser Doppler Vibrometers (LDV), optical sensors, and its forms of signal generation using zebra tapes and encoder disks to chart the current state of technology available for torsional vibration measurement. The advantages and disadvantages of each method were discussed to promote further research in the unexplored gaps of these measurement systems and to indicate the viability of each method for practical industrial applications.

Original languageEnglish
Title of host publication2024 15th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages84-91
Number of pages8
ISBN (Electronic)9798350362664
DOIs
Publication statusPublished - 2024
Event15th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2024 - Cape Town, South Africa
Duration: 17 May 202419 May 2024

Publication series

Name2024 15th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2024

Conference

Conference15th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2024
Country/TerritorySouth Africa
CityCape Town
Period17/05/2419/05/24

Keywords

  • Data Acquisition Systems
  • Frequency Signal
  • Rotating Machinery
  • Torsional Vibration Measurement
  • Voltage Signal

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Computer Science Applications
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

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