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Fault Diagnosis Based on Controller Modification Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Approximate Models and Parameter Analysis of the Flow Process in Transmission Pipelines

Authors : Zdzisław Kowalczuk, Marek Tatara

Published in: Advanced and Intelligent Computations in Diagnosis and Control

Publisher: Springer International Publishing

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Abstract

Basically, the paper deals with the problem of early leak detection in transmission pipelines. First we present the derivation of state-space equations of the flow process in the pipelines. This description is then aggregated in order to obtain a principal model. Next, the problem of process model parametrization is addressed, taking into account the maximization of a model stability margin. The location of the maximum is determined using optimization methods and curve fitting techniques. In such a way an optimal process parametrization is obtained. A simplified state-space model is then derived based on diagonal approximation, referred to as the analytic model (AMDA). Finally, the useful properties of the developed model are analyzed, including the speed and accuracy of an applied inverse matrix.

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previous chapter Design of a Predictive Fault-Tolerant Control for the Battery Assembly Station
next chapter Leak Detection in Liquid Transmission Pipelines During Transient State Related to a Change of Operating Point
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Metadata
Title
Approximate Models and Parameter Analysis of the Flow Process in Transmission Pipelines
Authors
Zdzisław Kowalczuk
Marek Tatara
Copyright Year
2016
Book
Advanced and Intelligent Computations in Diagnosis and Control

Print ISBN: 978-3-319-23179-2

Electronic ISBN: 978-3-319-23180-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-23180-8_17

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