Title :
A revised statistical deduction approach to pipeline leak detection
Author :
Tu, Yaqing ; Qiu, Dongqiang ; Du Zhang
Author_Institution :
Dept. of Autom. Eng., Logistical Eng. Univ., Chongqing, China
Abstract :
A statistical deduction approach has been proposed to the pipeline leak detection problem. Central to the approach is an equation for locating leaks. In this paper, we analyze the inadequacy of the existing leak location equation and propose a revised equation for improved leak location accuracy. Simulation experiments have been conducted with regard to the original and the revised equations, respectively. Results indicate that the revised equation indeed improves the accuracy of locating leaks in the statistical deduction approach.
Keywords :
flow measurement; leak detection; pipe flow; pipelines; statistical analysis; leak location; pipeline leak detection; statistical deduction approach; Computer science; Equations; Fluid flow measurement; Leak detection; Pipelines; Pollution measurement; Pressure measurement; Probability; Statistical analysis; Transportation;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2003. IMTC '03. Proceedings of the 20th IEEE
Print_ISBN :
0-7803-7705-2
DOI :
10.1109/IMTC.2003.1208027