Title

Spatiotemporal Sensing For Pipeline Leak Detection Using Thermal Video

Keywords

Auto-Modulating pattern detection algorithm; Civil infrastructure monitoring; Damage detection; Hilbert-huang transform; Spatiotemporal analysis

Abstract

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 setup has been fabricated to simulate a real pipeline network. Damage is simulated through the use of holes that can be closed using watertight bolts. A stationary 360×240 resolution infrared camera will be used to measure spatiotemporal temperature signatures on the pipeline surface over time. AMP can be implemented on each pixel’s time history to detect abnormal changes in temperature that are associated with hazards. Preliminary results show that AMP successfully provides spatiotemporal information related to adverse hazards.

Publication Date

1-1-2014

Publication Title

Structural Health Monitoring

Volume

5

Number of Pages

263-269

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-04570-2__29

Socpus ID

84944883882 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84944883882

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