Modular wavelet approach for reinforced plastic pipelines operation quality evaluation

Abstract

The article examines the issues of digital signal processing high-performance computing structures development for solving problems of plastic piping diagnosing in the system of oil fields' reservoir pressure maintenance. Pipelines diagnostics is based on the magnetic field changes study in the pipe damage areas. This method allows fault detecting from the earth's surface without resorting to expensive procedures of pipes excavation. Having the aim to obtain reliable information about the magnetic field condition, we propose a modular wavelet analysis by using polyphase filters with finite impulse response. It is proved that transition from the normal radix numeration system to the deductions system based on the Chinese remainder theorem in the filtering process significantly contributes to the pipelines digital data processing performance.