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首页> 外文期刊>Journal of Petroleum Science & Engineering >Gas pipeline leakage detection based on sensor fusion under model-based fault detection framework
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Gas pipeline leakage detection based on sensor fusion under model-based fault detection framework

机译：基于传感器融合的燃气管道泄漏检测在基于模型的故障检测框架下的传感器融合

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摘要

A model-based approach to detect and locate leakage along a finite length pipeline is proposed. Developing a generalized state space representation of the pipeline system is one of the achievements of this study. The approach relies on nonlinear modeling derived from momentum, continuity equations. Leaks are defined as system states thus, Extended Kalman Filter as a state observer is implemented to start leak detection. Hydraulic pressure measurements in spatial discretization points are required as output parameters in the estimation process. In order to increase system redundancy and leak estimation accuracy, displacement of sensor arrays instead of a single sensor is suggested. Fisher fusion method is implemented to combine noisy measurements and results in noticeable estimation accuracy improvement. Simulation of a realistic high-pressure operational pipeline is done by OLGA multiphase flow simulation software. The convergence of system states and leak estimation precision confirm the proposed method effectiveness.
机译：提出了一种基于模型的检测和定位沿有限长度管道泄漏的方法。开发管道系统的广义状态空间表示是本研究的成就之一。该方法依赖于源极，连续性方程的非线性建模。泄漏定义为系统状态，因此，实现了作为状态观察者的扩展卡尔曼滤波器以启动泄漏检测。空间离散点中的液压测量值是估计过程中的输出参数所必需的。为了提高系统冗余和泄漏估计精度，提出了传感器阵列的位移而不是单个传感器。渔业融合方法实施以结合噪声测量并导致明显的估计精度改善。实际高压操作管道的仿真由OLGA多相流动仿真软件完成。系统状态的收敛性和泄漏估计精度确认了所提出的方法有效性。

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