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- W1996262602 abstract "An inverse model, useful for interpreting pipeline survey data in terms of the physical condition of pipe coating, was developed by coupling a boundary-element forward model with a nonlinear regression algorithm. The forward model accounted for the passage of current through a three-dimensional homogeneous medium and yielded soil surface potentials for given pipe/anode configurations and pipe coating properties. The number of regressed parameters was reduced by using a function for coating resistivity that allowed specification of coating defects. A weighted simulated-annealing nonlinear regression algorithm facilitated analysis of noisy data. A method was developed to determine the appropriate number of fitted parameters. The procedure is demonstrated by simulation of a coated underground pipe segment protected by a sacrificial anode." @default.
- W1996262602 created "2016-06-24" @default.
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- W1996262602 date "2004-09-01" @default.
- W1996262602 modified "2023-09-26" @default.
- W1996262602 title "A weighted nonlinear regression-based inverse model for interpretation of pipeline survey data" @default.
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- W1996262602 doi "https://doi.org/10.1016/j.electacta.2004.03.045" @default.
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