DocumentCode
35926
Title
Probabilistic analysis of gear flank micro-pitting risk in wind turbine gearbox using supervisory control and data acquisition data
Author
Al-Tubi, Issa ; Hui Long ; Tavner, Peter ; Shaw, Brian ; Jishan Zhang
Author_Institution
Dept. of Mech. Eng., Univ. of Sheffield, Sheffield, UK
Volume
9
Issue
6
fYear
2015
fDate
8 2015
Firstpage
610
Lastpage
617
Abstract
This study investigates the probabilistic risk of gear tooth flank micro-pitting in wind turbine (WT) gearboxes and shows how relatively slow rate of supervisory control and data acquisition (SCADA) data, recorded during operation, can be used to analyse the onset of gear surface damage. Field measured time series of SCADA signals, including wind speed, generator power and rotational speed, were used to obtain the statistical variation of gear shaft torque and rotational speed. From the SCADA data obtained over a 2.2 year period random number datasets of smaller sizes were selected. Based on these random number datasets the effect of gear shaft torque and rotational speed variations on the probabilistic risk of gear micro-pitting was investigated. Determinations of the gear tooth flank contact stress and lubricant film thickness were based on the technical report of gear micro-pitting, ISO/TR 15144-1 (2010). The study has shown that the considered pinion gear is subjected to high load conditions resulting in high contact stresses. The variation of rotational speed causes greater sliding between the gear teeth. The results of specific lubricant film thicknesses have shown that there is considerable risk of gear micro-pitting under the operational conditions recorded from the SCADA field data.
Keywords
SCADA systems; control engineering computing; gears; lubricants; power engineering computing; power generation control; probability; shafts; statistical analysis; time series; wind turbines; ISO-TR 15144-1; SCADA data; WT; gear shaft torque; gear surface damage; gear tooth flank contact stress; generator power; lubricant film thickness; pinion gear tooth flank micropitting risk; probabilistic risk analysis; random number dataset; rotational speed variation; statistical variation; supervisory control and data acquisition data; time series; wind speed; wind turbine gearbox;
fLanguage
English
Journal_Title
Renewable Power Generation, IET
Publisher
iet
ISSN
1752-1416
Type
jour
DOI
10.1049/iet-rpg.2014.0277
Filename
7181829
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