Leakage detection in pipeline based on second order extended kalman filter observer

Sina Razvarz, Raheleh Jafari, Alexander Gegov

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


In this chapter, a new technique is proposed in order to detect, locate, as well as approximate the fluid leaks in a straight pipeline (without branching) by taking into consideration the pressure and flow evaluations at the ends of pipeline on the basis of data fusion from two methods: a steady-state approximation and Second-order Extended Kalman Filter (SEKF). The SEKF is on the basis of the second-order Taylor expansion of a nonlinear system unlike to the more popular First-order Extended Kalman Filter (FEKF). The suggested technique in this paper deals with just pressure head and flow rate evaluations at the ends of pipeline that has intrinsic sensor as well as process noise. A simulation example is given for demonstrating the validity of the proposed technique. It shows that the extended Kalman particle filter algorithm on the basis of the second-order Taylor expansion is effective and performs well in decreasing systematic deviations as well as running time.

Original languageEnglish
Title of host publicationFlow Modelling and Control in Pipeline Systems
Subtitle of host publicationA Formal Systematic Approach
Number of pages14
ISBN (Electronic)9783030592462
ISBN (Print)9783030592455, 9783030592486
Publication statusPublished - 2 Oct 2020

Publication series

NameStudies in Systems, Decision and Control
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

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