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Identification of Vibration Properties of Wheel Loader Driveline Parts as a Base for Adequate Condition Monitoring: Bearings
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development. Volvo Construction Equipment, Eskilstuna, Sweden.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Linnaeus University, Växjö, Sweden.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
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2017 (English)Conference paper (Refereed)
Abstract [en]

In order to reduce costly downtime, adequate condition monitoring of the automatic transmission components in heavy duty construction equipment is necessary. The transmission in such equipment enables to change the gear ratio automatically. Further, the bearings in an automatic transmission provide low friction support to its rotating parts and act as an interface separating stationary from rotating components. Wear or other bearing faults may lead to an increase in energy consumption as well as failure of other related components in the automatic transmission, and thus costly downtime. In this study, different sensor data (particularly vibration) was collected on the automatic transmission during controlled test cycles in an automatic transmission test rig to enable adequate condition monitoring.

An analysis of the measured vibration data was carried out using signal processing methods. The results indicate that predictive maintenance information related to the automatic transmission bearings may be extracted from vibrations measured on an automatic transmission. This information may be used for early fault detection, thus improving uptime and availability of heavy duty construction equipment.

Place, publisher, year, edition, pages
2017.
Keyword [en]
Automatic Transmission, Adaptive Line Enhancer (ALE), Bearings, Order Power Spectrum, Order Modulation Spectrum, Recursive Least Squares (RLS), and Vibration.
National Category
Engineering and Technology
Research subject
Signal Processing; Computer Aided Design
Identifiers
URN: urn:nbn:se:ltu:diva-63304OAI: oai:DiVA.org:ltu-63304DiVA: diva2:1094670
Conference
24th International Congress on Sound and Vibration, 23-24 July, 2017, London.
Available from: 2017-05-10 Created: 2017-05-10 Last updated: 2017-05-11

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The full text will be freely available from 2017-08-07 14:58
Available from 2017-08-07 14:58

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Källström, ElisabethLindström, JohnKarlberg, Magnus
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf