DocumentCode :
3052738
Title :
Valuations of adaptive methods for filtering out high-noises in oil complexes telemetry systems
Author :
Ustun, O. ; Yilmaz, Muhittin ; Mamedov, Havar ; Zada, P. Ali ; Tuncay, R.N.
Author_Institution :
Electr. Electron. Fac., ITU Istanbul, Istanbul, Turkey
fYear :
2013
fDate :
23-25 Oct. 2013
Firstpage :
1
Lastpage :
5
Abstract :
The ESP telemetry system needs to receive accurate information on the pump unit´s intake pressure, temperature and most importantly the electric motor stator cooling oil insulation resistance, for the successful exploitation of the ESP. The increasing disturbance levels with the corrupted analog telemetry signal are resulting in increasing noise levels; however, often it is still audible or the control system is still reliable. Beyond a certain disturbance level - digital cliff, the digital telemetry signal and control may stop abruptly. From ten applied adaptive filter algorithms, only three have shown successfully good results in the early prediction of the ESP electric motor real insulation disruption.
Keywords :
adaptive filters; cooling; intake systems (machines); oil technology; pumps; stators; telemetry; ESP electric motor real insulation disruption; ESP telemetry system; adaptive filter algorithms; adaptive methods; control system; corrupted analog telemetry signal; digital cliff; digital telemetry signal; disturbance levels; electric motor stator cooling oil insulation resistance; electro-submersible pump; high-noises filtering; intake pressure; noise levels; oil complexes telemetry systems; pump unit; temperature; Adaptive filters; Finite impulse response filters; Harmonic analysis; Least squares approximations; Noise; Power harmonic filters; Telemetry; Submersible electric motor; adaptive filtering; communication-telemetry channels; noise; oil industry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2013 7th International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-4673-6419-5
Type :
conf
DOI :
10.1109/ICAICT.2013.6722708
Filename :
6722708
Link To Document :
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