567
Theturbulenceincreasesalotaroundthegears[9,
10],a phenomenon visualized by thedistribution
of the velocity vectors (Figure 16, Figure 17) and
thecurrentlines(Figure18).
Figure16.Phase2‐Velocityvectorsdistribution.
Figure17.Phase2‐Velositydistributionafterfewseconds.
Figure18.Phase2.Streamlinesdistribution.
Finally,canobserved:
themaximumvalueofspeedwhenthegearsgetin
meshis4.388.10
‐1
m/s;
themaximumvalueofthe streamlines velocityis
4.272.10
‐1
m/s;
when the turbulence increases a lot around the
gears, the maximum value of velocity vectors is
4.388.10
‐1
m/s.
4 CONCLUSIONS
Thissystemwhichisusedformonitoringinrealtime
a metal particles is useful because sent a signal to
every 145 seconds to the monitoring device when a
particleisdetected.Whenappearafault,afaultsignal
is sent to the controller of automatic control
oiling
system.Thesechangesinthe operationalparameters
ofthewindturbineareinfluencedbyclimatechanges,
changes in temperatures, pressures, loads generated
bychangesinwindspeeds.Thecostsofrepairingor
reconditioningsomesystems,generatedbythelackof
continuous or defective monitoring of the wind
turbinesʹoperation,are
veryhigh,especiallythecosts
for gearboxes. The greater the wind force, the most
vulnerable the gears are. In this case, the offshore
wind turbines are the most susceptible to damage.
Thegearwheelteethmusthaveappropriatebending
strengthaswellasstrength.Thedangerous moment
appearwhenthe
teethcontacteachotherinthearea
of the pitch circles where no slip occurs, then mean
theoilfilmismissing.
ACKNOWLEDGMENT
Authors gratefully acknowledge to this material support
path received under Project BLOW2023‐2028‐ Black Sea
FLoatingOffshoreWind,GrantAgreementNº:101084323.
REFERENCES
[1]PeshcoV., Mendel B., MullerS.,MarkonesN.,Mercker
M., et.al., “ Effects of offshore windfarms of seabird
abundance:Strong effects in spring and in the breeting
season”,Marineenvironmentalresearch,2020
[2]https://www.europarl.europa.eu/meetdocs/2014_2019/pl
mrep/COMMITTEES/PECH/DT/2021/03‐
17/1217673RO.pdf
[3]https://gewindenergy.com,**GEDocumentationsWind
TurbinesSystems,2009.
[4]Panaitescu F.V., Panaitescu M., Juganaru
D.E.,”
Monitoring and data acquisition for a consumption
system based on renewable energies”, Int. Journal of
ModernManufacturingtechnologies,Vol.XIV,no.3,pp
184‐190,DOI10.54684,2022.
[5]https://lubemec.grouphes.com/wind‐power‐lubrication‐
maintenance,**”Automaticlubricationsolutions”,2023.
[6]https://gewindenergy.com,**GEDocumentationsWind
TurbinesGeneratorSystemsGE2.5xl,50Hz,
2009.
[7]https://www.lubetechnologies.com/wind.html, “ Wind
powqer generation‐Lubrication systems for wind
turbines”,2023.
[8] J. Ukonsaari, N.Bennstedt, “ Wind Turbines gear box”,
EnergiforskJournal,47,2016.
[9]Krzysztof Płonka, ” Lubricating oil analysis in wind
turbines gearboxes – part 1”, available on
https://www.ecol.com.pl/en/lubricating‐oil‐analysis‐in‐
wind‐turbines‐
gearboxes‐part‐1/.
[10]Bejger,A.,Frank,E.,Bartoszko,P.,“Failureanalysisof
windturbineplanetarygear”,EnergiesJournal,14,6768,
http://doi.org/10.3390/en14206768,2021.
[11]LatiffiantiE.,ShengS.,DingY.,“Windturbinegearbox
failure detection through cumulative sum of
multivariate time series data “, Energy Journal, vol.10,
https://doi.org/10.3389/fenrg.2022.904622,2022.
[12]
Park, C., Huang, J. Z., and Ding, Y. “ A Computable
Plug‐InEstimatorofMinimumVolumeSetsforNovelty
Detection.Operations Res.58, 1469–1480.
doi:10.1287/opre.1100.0825,2010.
[13] Pang, B., Tian, T., and Tang, G.‐J. “ Fault State
Recognition of Wind Turbine Gearbox Based on
Generalized Multi‐Scale Dynamic
Time
Warping”,Struct. Health Monit.20,3007–3023.
doi:10.1177/1475921720978622,2021.