University of Oulu

Nissilä, J., & Juuso, E. (2018). Extracting Vibration Severity Time Histories from Epicyclic Gearboxes. Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016. Presented at the Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016. https://doi.org/10.3384/ecp17142422

Extracting vibration severity time histories from epicyclic gearboxes

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Author: Nissilä, Juhani1; Juuso, Esko1
Organizations: 1Control Engineering, Faculty of Technology, University of Oulu, Finland, P.O.Box 4300, FI-90014
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202001131839
Language: English
Published: Linköping University Electronic Press, 2018
Publish Date: 2020-01-13
Description:

Abstract

Monitoring epicyclic gearboxes in vital power transition situations is still a challenge. In this paper, we discuss these challenges with long time vibration measurements through two industrial examples. The ?rst are the two gearboxes in the front axle of a load haul dumper (LHD) from Pyhäsalmi mine and the second a two stage gearbox from Kelukoski water power station (WPS). The LHD was monitored almost continuously for nearly two years until its breakdown. The data from WPS was intermittent from a ?ve month period. We discuss how to ?nd stable conditions for comparable measurements in these cases. For this we utilise a tacho signal from the cardan axle of the LHD and power measurements from the WPS. It is found that in both cases second derivatives of acceleration signals, called snap, respond more quickly to changes in vibration severity. In the LHD case we get clear trends for increasing norms of snap signals. The trends are extracted with nonparametric regression. The shorter measurement period of the WPS makes it impossible to say if its changes are only seasonal. Spectral analysis shows increase in high frequency vibration with time in both cases but provides almost no help for detailed diagnostics.

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Series: Linköping electronic conference proceedings
ISSN: 1650-3686
ISSN-E: 1650-3740
ISSN-L: 1650-3686
ISBN: 978-91-7685-399-3
Pages: 422 - 432
DOI: 10.3384/ecp17142422
OADOI: https://oadoi.org/10.3384/ecp17142422
Host publication: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Conference: EUROSIM
Type of Publication: A4 Article in conference proceedings
Field of Science: 111 Mathematics
112 Statistics and probability
213 Electronic, automation and communications engineering, electronics
214 Mechanical engineering
222 Other engineering and technologies
Subjects:
Funding: The LHD measurements were part of the "Development of production integrated condition-based maintenance model for mining industry (DEVICO)" project. The measurements at the WPS were part of the "Integrated conditionbased control and maintenance (ICBCOM)" project. The first author wishes to thank Tauno Tönning foundation for their support on his doctoral studies.
Copyright information: © The Authors 2018. Self-archived with the kind permission by the publisher. The Definitive Version of Record can be found online at: https://doi.org/10.3384/ecp17142422.