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Identification of vibration properties of heavy duty machine driveline parts as a base for adequate condition monitoring: Torque converter
Volvo, SWE.
Luleå tekniska Universitet, SWE.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Luleå tekniska Universitet, SWE.
Show others and affiliations
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, INT INST ACOUSTICS & VIBRATION , 2016Conference paper, Published paper (Refereed)
Abstract [en]

Improving uptime is paramount in the heavy duty construction equipment business. Failure of critical components in the heavy duty machine may lead to unnecessary stops and expensive downtime. The torque converter, a complex component of the driveline, transmits and multiplies torque from the engine to the gearbox, and its failure may not only lead to the machine standing still but may also lead to damage of other parts of the automatic transmission. For adequate condition monitoring of the torque converter, different sensor data are measured on a construction equipment machine during controlled driving sessions. Vibration has been measured on the torque converter. An initial investigation of the vibration measured on the torque converter has been carried out to identify its vibration properties in order to enable its health monitoring to prevent failure. Initial signal analysis of the data have been carried out using Order Power Spectrum and Order Modulation Spectrum methods. The results indicate that the torque converter vibration properties contain information relevant for early fault detection.

Place, publisher, year, edition, pages
INT INST ACOUSTICS & VIBRATION , 2016.
Series
Proceedings of the International Congress on Sound and Vibration, ISSN 2329-3675
Keyword [en]
Construction equipment; Fault detection; Machine components; Machinery; Outages; Torque; Torque converters, Automatic transmission; Complex components; Converter vibration; Critical component; Health monitoring; Machine driveline; Modulation spectrum; Vibration properties, Condition monitoring
National Category
Signal Processing Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-13185ISI: 000388480402086Scopus ID: 2-s2.0-84987896981ISBN: 9789609922623 (print)OAI: oai:DiVA.org:bth-13185DiVA: diva2:1014424
Conference
23rd International Congress on Sound and Vibration, ICSV 2016; Athenaeum Intercontinental HotelAthens; Greece
Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-06-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
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