Adaptive Filtering For Pressure Signals of Pipelines Based On Genetic Algorithm

The pressure signal of oil pipelines usually detected has a rather low noise quantum. Selecting the best weigh vector of LMS adaptive filtering by means of real-coded Genetic Algorithm can eliminate the errors brought by improperly selected the convergence step μ and in addition avoid partial convergence of W. The results of simulation have shown that the method can obtain simplicity of implementation, conservation of operating time and a better reconstruction performance, and if can provide credible data for leak detection and location.