DocumentCode
737820
Title
A Limited Region Electrical Capacitance Tomography for Detection of Deposits in Pipelines
Author
Al Hosani, Esra ; Maomao Zhang ; Soleimani, Manuchehr
Author_Institution
Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath, UK
Volume
15
Issue
11
fYear
2015
Firstpage
6089
Lastpage
6099
Abstract
Pipeline deposit is a worldwide problem facing the process industry affecting all phases of production, transmission, and distribution causing problems to the pipeline operations up to the customer delivery point. Therefore, monitoring the propagation of such deposits at different points of the pipeline network will help taking more adequate preventive actions. Several good technologies are available in the market nowadays for monitoring deposits but electrical capacitance tomography (ECT) technique in particular promises superior advantages as it is considered fast, compact, safe, easy to interpret, and cost effective. However, ECT still suffers from one disadvantage being the poor resolution, and thus, this paper suggests the use of ECT with limited region tomographic image reconstruction using a narrowbandpass filter to enhance the resolution of the produced images. The experimental results showed that different deposit regimes and fine deposits could be detected with high definition and high resolution.
Keywords
band-pass filters; computerised tomography; image reconstruction; image resolution; object detection; pipelines; ECT technique; customer delivery point; electrical capacitance tomography; image resolution; narrowbandpass filter; pipeline network; pipelines deposits detection; production phases; tomographic image reconstruction; Capacitance; Capacitance measurement; Electrodes; Image reconstruction; Permittivity; Pipelines; Sensors; Electrical capaciatnce tomography; Electrical capacitance tomography (ECT); Limited Region Tomography; limited region tomography; pipeline deposits monitoring;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2015.2453361
Filename
7152816
Link To Document