Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Extracting Vibration Severity Time Histories from Epicyclic Gearboxes Linköping University Electronic Press Conference Proceedings
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Title:
Extracting Vibration Severity Time Histories from Epicyclic Gearboxes
Author:
Juhani Nissilä: Control Engineering, Faculty of Technology, University of Oulu, Finland Esko Juuso: Control Engineering, Faculty of Technology, University of Oulu, Finland
DOI:
10.3384/ecp17142422
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
062
Pages:
422-432
No. of pages:
11
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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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.

Keywords: epicyclic gearbox, spectral analysis, higher derivatives, MIT-indices, nonparametric regression

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Juhani Nissilä, Esko Juuso
Title:
Extracting Vibration Severity Time Histories from Epicyclic Gearboxes
DOI:
http://dx.doi.org/10.3384/ecp17142422
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Juhani Nissilä, Esko Juuso
Title:
Extracting Vibration Severity Time Histories from Epicyclic Gearboxes
DOI:
https://doi.org10.3384/ecp17142422
Note: the following are taken directly from CrossRef
Citations:
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Last updated: 2019-10-02