关键词: 海底管道, 泄漏监测, 信号检测, 噪声, 随机参量, 自适应滤波算法, 检验模型

Abstract: Based on signal detection theory,the real-time leakage detection problem of submarine pipeline was discussed,by means of the observed series of mass flow difference of pipe.The adaptive filter algorithm based on innovation theory was introduced.The color noise of the observed series resulted from data gathering and long-distance transfer was whitened.A binary composite hypothesis test model with unknown and stochastic parameters was constructed.The sequential probability ratio test (SPRT) with the uniformly most powerful effect was provided for white Gaussian process.This novel method was used to detect the distant series of pipe mass flow difference of leakages produced in stationary and non-stationary operation situations, respectively.The uniformly most powerful test (UMPT) can exactly judge leakage signals of above both situations and obtain the detection probability of 95 percent.It is indicated that UMPT has a better accuracy,and the least detection time can keep more robust performance in varying pipe operating situation,compared with SPRT applied in some cases of industrial pipelines.

Key words: submarine pipeline, leakage, color noise, innovation theory, adaptive filter, hypothesis test