國立虎尾科技大學 |

Flow Modelling and Control in Pipeline Systems = A Formal Systematic Approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Flow Modelling and Control in Pipeline Systems/ by Sina Razvarz, Raheleh Jafari, Alexander Gegov.
Reminder of title:	A Formal Systematic Approach /
Author:	Razvarz, Sina.
other author:	Jafari, Raheleh.
Description:	XIV, 198 p. 82 illus., 67 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Fluid mechanics. -
Online resource:	https://doi.org/10.1007/978-3-030-59246-2
ISBN:	9783030592462

Flow Modelling and Control in Pipeline Systems = A Formal Systematic Approach /
Razvarz, Sina.

Flow Modelling and Control in Pipeline SystemsA Formal Systematic Approach /[electronic resource] :by Sina Razvarz, Raheleh Jafari, Alexander Gegov. - 1st ed. 2021. - XIV, 198 p. 82 illus., 67 illus. in color.online resource. - Studies in Systems, Decision and Control,3212198-4190 ;. - Studies in Systems, Decision and Control,27.

The importance of pipeline transportation -- A review on different pipeline defect detection techniques -- Modelling of pipeline flow -- Theory and applications of Fuzzy logic Controller for Flowing Fluids -- Basic concepts of neural networks and deep learning and their applications for pipeline damage detection -- Leakage modelling for pipeline -- Blockage detection in Pipeline -- Leakage Detection in Pipeline Based on Second Order Extended Kalman Filter Observer -- Control of flow rate in heavy-oil pipelines using PD and PID controller.

This book introduces novel methods for leak and blockage detection in pipelines. The leak happens as a result of ageing pipelines or extreme pressure forced by operational error or valve rapid variation. Many factors influence blockage formation in pipes like wax deposition that leads to the formation and eventual growth of solid layers and deposition of suspended solid particles in the fluids. In this book, initially, different categories of leak detection are overviewed. Afterwards, the observability and controllability of pipeline systems are analysed. Control variables can be usually presented by pressure and flow rates at the start and end points of the pipe. Different cases are considered based on the selection of control variables to model the system. Several theorems are presented to test the observability and controllability of the system. In this book, the leakage flow in the pipelines is studied numerically to find the relationship between leakage flow and pressure difference. Removing leakage completely is almost impossible; hence, the development of a formal systematic leakage control policy is the most reliable approach to reducing leakage rates.

ISBN: 9783030592462

Standard No.: 10.1007/978-3-030-59246-2doiSubjects--Topical Terms:

555551
Fluid mechanics.

LC Class. No.: TA357-359

Dewey Class. No.: 620.1064

Flow Modelling and Control in Pipeline Systems = A Formal Systematic Approach /
LDR:03189nam a22004095i 4500 001 1049779
003 DE-He213
005 20211004010912.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030592462 $9 978-3-030-59246-2
024 7 $a 10.1007/978-3-030-59246-2 $2 doi
035 $a 978-3-030-59246-2
050 4 $a TA357-359
072 7 $a TGMF $2 bicssc
072 7 $a TEC009070 $2 bisacsh
072 7 $a TGMF $2 thema
082 0 4 $a 620.1064 $2 23
100 1 $a Razvarz, Sina. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1353983
245 1 0 $a Flow Modelling and Control in Pipeline Systems $h [electronic resource] : $b A Formal Systematic Approach / $c by Sina Razvarz, Raheleh Jafari, Alexander Gegov.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XIV, 198 p. 82 illus., 67 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Systems, Decision and Control, $x 2198-4190 ; $v 321
505 0 $a The importance of pipeline transportation -- A review on different pipeline defect detection techniques -- Modelling of pipeline flow -- Theory and applications of Fuzzy logic Controller for Flowing Fluids -- Basic concepts of neural networks and deep learning and their applications for pipeline damage detection -- Leakage modelling for pipeline -- Blockage detection in Pipeline -- Leakage Detection in Pipeline Based on Second Order Extended Kalman Filter Observer -- Control of flow rate in heavy-oil pipelines using PD and PID controller.
520 $a This book introduces novel methods for leak and blockage detection in pipelines. The leak happens as a result of ageing pipelines or extreme pressure forced by operational error or valve rapid variation. Many factors influence blockage formation in pipes like wax deposition that leads to the formation and eventual growth of solid layers and deposition of suspended solid particles in the fluids. In this book, initially, different categories of leak detection are overviewed. Afterwards, the observability and controllability of pipeline systems are analysed. Control variables can be usually presented by pressure and flow rates at the start and end points of the pipe. Different cases are considered based on the selection of control variables to model the system. Several theorems are presented to test the observability and controllability of the system. In this book, the leakage flow in the pipelines is studied numerically to find the relationship between leakage flow and pressure difference. Removing leakage completely is almost impossible; hence, the development of a formal systematic leakage control policy is the most reliable approach to reducing leakage rates.
650 0 $a Fluid mechanics. $3 555551
650 0 $a Engineering—Data processing. $3 1297966
650 1 4 $a Engineering Fluid Dynamics. $3 670525
650 2 4 $a Data Engineering. $3 1226308
700 1 $a Jafari, Raheleh. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1225257
700 1 $a Gegov, Alexander. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1102746
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030592455
776 0 8 $i Printed edition: $z 9783030592479
776 0 8 $i Printed edition: $z 9783030592486
830 0 $a Studies in Systems, Decision and Control, $x 2198-4182 ; $v 27 $3 1254124
856 4 0 $u https://doi.org/10.1007/978-3-030-59246-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)