Open AccessInvestigation of chaotic behavior for press time series of oil pipeline
Author(s) -
Jinhai Liu,
Huaguang Zhang,
Jian Feng
Publication year - 2008
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.57.6868
Subject(s) - pipeline (software) , lyapunov exponent , chaotic , nonlinear system , series (stratigraphy) , statistical physics , white noise , fractal , correlation dimension , computer science , noise (video) , pipeline transport , time series , fractal dimension , mathematics , physics , mathematical analysis , geology , environmental science , artificial intelligence , telecommunications , paleontology , quantum mechanics , environmental engineering , machine learning , image (mathematics) , programming language
Usually, pressure fluctuation in oil pipeline is assumed to be stochastic or as white noise, which hinders the improvement of fault diagnosis technology based on pressure fluctuation. To find the internal dynamics of pressure fluctuation in oil pipeline, the possibility of existing chaotic behavior is validated using the method of nonlinear analysis. Six experimental data sets are studied on which phase spaces are reconstructed, the fractal dimensions and Lyapunov exponents are computed and the stationary feature and nonlinearity are validated. By the analysis of the results, the rigorous chaotic character of pressure fluctuation in oil pipeline is found, which is a theoretical basis for the correlative investigation based on pressure time series of oil pipeline.