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Identification of Vibration Properties of Heavy Duty Machine Driveline Parts as a Base for Adequate Condition Monitoring: Axle
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-2356-7830
Department of Applied Signal Processing, Blekinge Institute of Technology.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0002-2342-1647
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Number of Authors: 6
2016 (English)In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics / [ed] Vogiatzis, K; Kouroussis, G; Crocker, M; Pawelczyk, M, 2016Conference paper, Published paper (Refereed)
Abstract [en]

With increasing complexities in the heavy duty construction equipment, early fault detection of certain components in the machine becomes more and more challenging due to too many fault code generated when a failure occurs. The axle is one of such component. The axle transfers driving torque from the transmission to the wheels and axle failure may result in costly downtime of construction equipment. To reduce service cost and to improve uptime, adequate condition monitoring based on sensor data from the axle is considered. Vibration is measured on the axle. Analysis of the data has been carried out using adequate signal processing methods. The results indicate that the vibration properties of the axle are relevant for early fault detection of the axle. In this way; the health of the axle may be continuously monitored on-board using the vibration information and if the axle health starts to degrade a service and/or repair may be scheduled well in advance of a potential axle failure and in that way the downtime of a machine may be reduced.

Place, publisher, year, edition, pages
2016.
Series
Proceedings of the International Congress on Sound and Vibration, ISSN 2329-3675
Keyword [en]
Order Power Spectrum, Order Modulation Spectrum, Product Development, Information technology - Signal processing
Keyword [sv]
Informationsteknik - Signalbehandling
National Category
Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
URN: urn:nbn:se:ltu:diva-27469ISI: 000388480402101Scopus ID: 2-s2.0-84987920136Local ID: 0ef78cf3-88bb-4c49-ae23-ca4971f5e423ISBN: 9789609922623 (print)OAI: oai:DiVA.org:ltu-27469DiVA: diva2:1000653
Conference
International Congress on Sound & Vibration : 10/07/2016 - 14/07/2016
Projects
Fastelaboratoriet - VINNEXC
Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Källström, ElisabethLindström, JohnKarlberg, Magnus
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