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Evaluation of impact sound insulation from 20 Hz
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-8451-4804
Simmons akustik och utveckling.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2017 (English)In: / [ed] Gibbs B., International Institute of Acoustics and Vibration , 2017Conference paper, Published 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
International Institute of Acoustics and Vibration , 2017.
Keyword [en]
Automatic Transmission, Adaptive Line Enhancer (ALE), Bearings, Order Power Spectrum, Order Modulation Spectrum, Recursive Least Squares (RLS), and Vibration.
National Category
Fluid Mechanics and Acoustics
Research subject
Engineering Acoustics
Identifiers
URN: urn:nbn:se:ltu:diva-65873Scopus ID: 2-s2.0-85029418279OAI: oai:DiVA.org:ltu-65873DiVA: diva2:1145369
Conference
24th International Congress on Sound and Vibration, London, 23-24 July, 2017
Available from: 2017-09-28 Created: 2017-09-28 Last updated: 2017-11-24Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
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