Noises Cancelling Adaptive Methods in Control Telemetry Systems of Oil Electrical Submersible Pumps

Abstract

???????????????? ???????? ???????? ???????????? ?????????????????????? ?? ???????????? ???????????????? ?????????????????????? ???????????????????? ?????????????? ???????????????????? ????????????????, ?????????????? ?????????????????????? ?? MATLAB (???? ?????????? ?????????? ????????????). ?????????????? ?????????????????????????????? ?????????????? ?????????????????????? ??????????, ?????????????????? ?????? ???????????????????? ???? ?????????????? ???????????????????????????? ?????????????????? ???????????????????????????? ??????. ???????????????????????? ???????????????? ?????????????????????????? ???????????????????? ?????????????? ?????????????????? ???????????????????? ?????????????? ?????? ?????????????? ?????????? ?????????????????????????????? ?????????????????? ???????????????? ?????????????????? ?? ?????????? ???????????????????????????? ?????????????????? ????????????????????. ???????????????? ?????????????????????? ???????????????????? ???????????????????? ???????????????????? ?????? ?????????????????????????????? ?????????? ???????????????? Normalized LMS FIR filter algorithm ??? adaptfilt.nlms.

The main ideas of this paper are that only some from more than 10 MATLAB Adaptive Methods library may be useful and can be recommended to filter out High-Noises in similar Control Telemetry Channels of Electric Power Components like ESP Systems: only four of applied have shown successfully good results in the early prediction of the ESP motor real insulation disruption (like Signerror, Sign-data and Sign-sign filters). The best among the ten analyzed adaptive filter algorithms was recognized to be, The Normalized LMS FIR filter algorithm ??? adaptfilt.nlms.