An Algorithm of Auto-Update Threshold for Singularity Analysis of Pipeline Pressure

A precise auto-update threshold algorithm (AUTA) which imitates the short-term memory of human brain is proposed to search singularities in pipeline pressure signal. According to the characteristics of the pressure signal, the pressure can be divided into two states known as nonsteady state and stea...

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Published inMathematical problems in engineering Vol. 2013; no. 2013; pp. 1 - 7
Main Authors Ma, Dazhong, Tan, Liang, Feng, Jian, Liu, Jinhai
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2013
John Wiley & Sons, Inc
Subjects
Online AccessGet full text
ISSN1024-123X
1026-7077
1563-5147
1563-5147
DOI10.1155/2013/495425

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Abstract A precise auto-update threshold algorithm (AUTA) which imitates the short-term memory of human brain is proposed to search singularities in pipeline pressure signal. According to the characteristics of the pressure signal, the pressure can be divided into two states known as nonsteady state and steady state. The AUTA can distinguish these two states and then choose corresponding method to calculate the dynamic thresholds of pressure variation in real time. Then, the parameters of AUTA are analyzed to determine their values or ranges. Finally, in the simulations to the actual pressure signal from oil pipelines, we verified the effectiveness of AUTA in estimating the dynamic threshold value of pressure.
AbstractList A precise auto-update threshold algorithm (AUTA) which imitates the short-term memory of human brain is proposed to search singularities in pipeline pressure signal. According to the characteristics of the pressure signal, the pressure can be divided into two states known as nonsteady state and steady state. The AUTA can distinguish these two states and then choose corresponding method to calculate the dynamic thresholds of pressure variation in real time. Then, the parameters of AUTA are analyzed to determine their values or ranges. Finally, in the simulations to the actual pressure signal from oil pipelines, we verified the effectiveness of AUTA in estimating the dynamic threshold value of pressure.
Author Ma, Dazhong
Feng, Jian
Liu, Jinhai
Tan, Liang
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ContentType Journal Article
Copyright Copyright © 2013 Jinhai Liu et al.
Copyright © 2013 Jinhai Liu et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright_xml – notice: Copyright © 2013 Jinhai Liu et al.
– notice: Copyright © 2013 Jinhai Liu et al.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Snippet A precise auto-update threshold algorithm (AUTA) which imitates the short-term memory of human brain is proposed to search singularities in pipeline pressure...
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StartPage 1
SubjectTerms Accuracy
Algorithms
Brain
Computer simulation
Dynamics
Engineering
Fault diagnosis
Fuzzy sets
Leak detection
Mathematical analysis
Methods
Neural networks
Neurosciences
Noise
Object linking & embedding
Petroleum pipelines
Process controls
Singularities
Steady state
Thresholds
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Title An Algorithm of Auto-Update Threshold for Singularity Analysis of Pipeline Pressure
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