Abstract
Abstract Simulation of the detection, identification and classification of the vibration signature of oil/gas pipelines in response to acts of vandalism is presented in this paper. Real vibration signal data were acquired from a sample oil/gas steel pipe subjected to different excitation forces during a real experimental field work. The data acquired from the use of a drilling machine were used as input to an intelligent system modeled to classify the vibration data during simulation process by use of the MATLAB fuzzy logic toolbox. Results from the simulation show that a relatively uniform vibration output value of 1.0 (on a scale of 0 to 1), being the desired output, was achieved. This value is ideal for the design of a system to detect and diagnose an act of vandalism on oil/gas pipelines. Installing such a system spatially on a pipeline network will forestall the incessant occurrences of intrusion on the pipes, and consequently lead to an improvement on the safety of the lives and properties of those who live in communities across which the pipelines run.
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