Abstract

Currently numerous approaches with various applicability have been generated in order to detect damage in pipe networks. Pipeline faults such as leaks and partial or complete blockages usually create serious problems for engineers. The model-based leak, as well as block detection methods for the pipeline systems gets more and more attention. Among these model-based methods, the state observer and state feedback based methods are usually used. While the observability, as well as controllability, are taken to be the prerequisites for utilizing these techniques. In this work, a new technique based on the extended Kalman filter observer is proposed in order to detect and locate the blockage in the pipeline. Furthermore, the analysis of observability and controllability in the pipe networks is investigated. Important theorems are given for testing the observability as well as controllability of the pipeline system.

Highlights

  • As well as partial or complete blockages, can be considered as a usual fault arising in pipelines that creates troubles [1,2,3,4]

  • Blockage barricade flow, which causes a loss in pressure, and so enhances the required pumping expenses in order to dominate the loss in pressure, occasionally blockage results in absolute termination of functioning [5,6]

  • As well as an exact place of leaks or blockages, can help in avoiding the troubles created by such faults and develop the correct timing decision in order to deal with faults for preventing or diminishing production/performance suspension [7,8,9,10,11]

Read more

Summary

Introduction

As well as partial or complete blockages, can be considered as a usual fault arising in pipelines that creates troubles [1,2,3,4]. Flow analysis istechniques developed on the basis efficient methods in order to responding identify blockages. In verifications in order outcomes to detect partial discrete blockage inare a single pipeline. A novel method is proposed in pipeline generally identification and for location of blockage using model-based techniques order tosystem, analyse pipelineforsystem, generally identification and location of blockage using and extended techniques. The liquid density (ρ), the flow rate (Φ) and pressure (Ρ) at the entry and of exit of (Θ) related pipe can be measured for evaluation. The pressure head (Π) and flow rate (Φ) are taken to be functions of position and time as Π(x, t) and Φ(x, t), such that λ ∈ [0, Γ], where Γ is the pipe length

Blockage Modelling
Blockage
Observer Design by Using the Extended Kalman Filter
Simulation Results werewas carried out in for oneofcase thewas model shown
6.6.Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call