Abstract
A methodology for pipeline leakage detection, together with isolating the size of the leak and the leakage location, using an evidential reasoning based approach is presented. Leakage in pipes produces two major effects, a change in the difference between inlet flow and outlet flow, and, an average pressure change over time. Each of these changes, although in reality coupled, can be thought of as providing two independent bodies of evidence (typically incomplete and non-specific) which can give hints of the occurance of a leak. Inference using traditional Bayesian analysis involves assumptions in cases of incomplete information and partial ignorance. Evidential reasoning, also called the Dempster-Shafer (DS) theory, has proved very useful for such situations and has the ability to incorporate both aleatory and epistemic uncertainities in the inference mechanism. The bodies of evidence from the changes mentioned above are mapped over a 'frame of discernment' of risk of leakage and subsequently the DS rule of combination is applied to make an inference on the occurence, size and location of a leak. What is described below is a novel methodology as to how a system based on the evidential reasoning approach may be trained to detect and locate leaks in compressible flow in a pipeline. The evidential reasoning based approach is trained off-line with the results encouraging.
| Original language | English |
|---|---|
| Title of host publication | Design and Construction; Environment; Pipeline Automation and Measurement |
| Publisher | American Society of Mechanical Engineers (ASME) |
| Volume | 1 |
| ISBN (Print) | 9780791846100 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 2014 10th International Pipeline Conference, IPC 2014 - Calgary, Canada Duration: Sep 29 2014 → Oct 3 2014 |
Other
| Other | 2014 10th International Pipeline Conference, IPC 2014 |
|---|---|
| Country | Canada |
| City | Calgary |
| Period | 9/29/14 → 10/3/14 |
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ASJC Scopus subject areas
- Mechanical Engineering
- Electronic, Optical and Magnetic Materials
- Materials Chemistry
Cite this
Leakage detection and location of compressible flow in a pipeline. / Adair, Desmond; Emara-Shabaik, Hosam E.; Jaeger, Martin.
Design and Construction; Environment; Pipeline Automation and Measurement. Vol. 1 American Society of Mechanical Engineers (ASME), 2014.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Leakage detection and location of compressible flow in a pipeline
AU - Adair, Desmond
AU - Emara-Shabaik, Hosam E.
AU - Jaeger, Martin
PY - 2014
Y1 - 2014
N2 - A methodology for pipeline leakage detection, together with isolating the size of the leak and the leakage location, using an evidential reasoning based approach is presented. Leakage in pipes produces two major effects, a change in the difference between inlet flow and outlet flow, and, an average pressure change over time. Each of these changes, although in reality coupled, can be thought of as providing two independent bodies of evidence (typically incomplete and non-specific) which can give hints of the occurance of a leak. Inference using traditional Bayesian analysis involves assumptions in cases of incomplete information and partial ignorance. Evidential reasoning, also called the Dempster-Shafer (DS) theory, has proved very useful for such situations and has the ability to incorporate both aleatory and epistemic uncertainities in the inference mechanism. The bodies of evidence from the changes mentioned above are mapped over a 'frame of discernment' of risk of leakage and subsequently the DS rule of combination is applied to make an inference on the occurence, size and location of a leak. What is described below is a novel methodology as to how a system based on the evidential reasoning approach may be trained to detect and locate leaks in compressible flow in a pipeline. The evidential reasoning based approach is trained off-line with the results encouraging.
AB - A methodology for pipeline leakage detection, together with isolating the size of the leak and the leakage location, using an evidential reasoning based approach is presented. Leakage in pipes produces two major effects, a change in the difference between inlet flow and outlet flow, and, an average pressure change over time. Each of these changes, although in reality coupled, can be thought of as providing two independent bodies of evidence (typically incomplete and non-specific) which can give hints of the occurance of a leak. Inference using traditional Bayesian analysis involves assumptions in cases of incomplete information and partial ignorance. Evidential reasoning, also called the Dempster-Shafer (DS) theory, has proved very useful for such situations and has the ability to incorporate both aleatory and epistemic uncertainities in the inference mechanism. The bodies of evidence from the changes mentioned above are mapped over a 'frame of discernment' of risk of leakage and subsequently the DS rule of combination is applied to make an inference on the occurence, size and location of a leak. What is described below is a novel methodology as to how a system based on the evidential reasoning approach may be trained to detect and locate leaks in compressible flow in a pipeline. The evidential reasoning based approach is trained off-line with the results encouraging.
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UR - http://www.scopus.com/inward/citedby.url?scp=84918572332&partnerID=8YFLogxK
U2 - 10.1115/IPC201433026
DO - 10.1115/IPC201433026
M3 - Conference contribution
AN - SCOPUS:84918572332
SN - 9780791846100
VL - 1
BT - Design and Construction; Environment; Pipeline Automation and Measurement
PB - American Society of Mechanical Engineers (ASME)
ER -