Auto Modulating Pattern Detection Algorithm (AMP) is a novel data processing technique to detect adverse hazards for various monitoring applications. This ongoing experimental study seeks to expand the one-dimensional “pointsensing” AMP to the two-dimensional “plane-sensing” case. AMP will be validated as an effective spatiotemporal technique for detecting leakage in fluid distribution pipeline networks. Pipelines fail due to various causes, including external interference (mechanical damage) and corrosion caused by external environmental factors. These damage signatures are usually very tiny and are masked by other more dominant trends such as the ambient air temperature, making these patterns difficult to detect. An experimental pipeline ...
ABSTRACT Distributed fiber optic sensing offers the ability to measure temperatures and strain at th...
Leak detection in complex pipeline systems is challenging due to complex wave reflections. This rese...
International audienceThis paper suggests a method for damage detection and localization in pipeline...
Auto Modulating Pattern Detection Algorithm (AMP) is a novel data processing technique to detect adv...
Nicht verfügbarThe cost effective maintenance of underwater pressure pipes for sewage disposal in Au...
Control and monitoring of pipelines, dedicated to liquids transportation and distribution, are gener...
Pipelines are the major media for transport of oil and gas from a source to the target location in o...
Liquid leakage from pipelines is a critical issue in large-scale process plants. Damage in pipelines...
The focus of this PhD research is to develop non-invasive and cost-effective techniques for assessin...
Pipelines are integral components for storing and transporting liquid and gaseous petroleum products...
In a distribution network of low-pressure gas pipelines, the situation of gas leak can be further ag...
The vision-based pipeline leakage detection is an intelligent leak detection method based on the ind...
We address two problems related to large-scale aerial monitoring of district heating networks. First...
For distances up to a certain limit, transportation of fluids through pipelines is the most economic...
Gas supply is a process of supreme importance in Singapore because it is also used as a raw material...
ABSTRACT Distributed fiber optic sensing offers the ability to measure temperatures and strain at th...
Leak detection in complex pipeline systems is challenging due to complex wave reflections. This rese...
International audienceThis paper suggests a method for damage detection and localization in pipeline...
Auto Modulating Pattern Detection Algorithm (AMP) is a novel data processing technique to detect adv...
Nicht verfügbarThe cost effective maintenance of underwater pressure pipes for sewage disposal in Au...
Control and monitoring of pipelines, dedicated to liquids transportation and distribution, are gener...
Pipelines are the major media for transport of oil and gas from a source to the target location in o...
Liquid leakage from pipelines is a critical issue in large-scale process plants. Damage in pipelines...
The focus of this PhD research is to develop non-invasive and cost-effective techniques for assessin...
Pipelines are integral components for storing and transporting liquid and gaseous petroleum products...
In a distribution network of low-pressure gas pipelines, the situation of gas leak can be further ag...
The vision-based pipeline leakage detection is an intelligent leak detection method based on the ind...
We address two problems related to large-scale aerial monitoring of district heating networks. First...
For distances up to a certain limit, transportation of fluids through pipelines is the most economic...
Gas supply is a process of supreme importance in Singapore because it is also used as a raw material...
ABSTRACT Distributed fiber optic sensing offers the ability to measure temperatures and strain at th...
Leak detection in complex pipeline systems is challenging due to complex wave reflections. This rese...
International audienceThis paper suggests a method for damage detection and localization in pipeline...