A Data Fusion System for the Nondestructive Evaluation of Non-Piggable Pipes

Abstract

The objectives of this research project are: (1) To design sensor data fusion algorithms that can synergistically combine defect related information from heterogeneous sensors used in gas pipeline inspection for reliably and accurately predicting the condition of the pipe-wall. (2) To develop efficient data management techniques for signals obtained during multisensor interrogation of a gas pipeline. During this reporting period, Rowan University fabricated test specimens with simulated defects for nondestructive evaluation (NDE); designed and developed two versions of a test platform for performing multi-sensor interrogation of test specimens under loaded conditions simulating pressurized gas pipelines; and performed magnetic flux leakage (MFL), ultrasonic testing (UT), thermal imaging and acoustic emission (AE) NDE on the test specimens. The data resulting from this work will be employed for designing multi-sensor data fusion algorithms.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.2172/821465

• http://dx.doi.org/10.2172/827151

• http://dx.doi.org/10.2172/827160

• http://dx.doi.org/10.2172/837757

• http://dx.doi.org/10.2172/840802

• http://dx.doi.org/10.2172/882878

• https://digital.library.unt.edu/ark:/67531/metadc785889/m2/1/high_res_d/837757.pdf

• https://digital.library.unt.edu/ark:/67531/metadc788965/m2/1/high_res_d/827151.pdf

• https://www.osti.gov/biblio/821465

• https://www.osti.gov/biblio/827160

• https://www.osti.gov/biblio/840802

• https://www.osti.gov/biblio/882878

• https://core.ac.uk/display/71224290,

https://digital.library.unt.edu/ark:/67531/metadc785889,

https://digital.library.unt.edu/ark:/67531/metadc785889/m2/1/high_res_d/837757.pdf,

https://academic.microsoft.com/#/detail/2748644094

• https://core.ac.uk/display/71225305,

https://digital.library.unt.edu/ark:/67531/metadc788965/m2/1/high_res_d/827151.pdf,

https://digital.library.unt.edu/ark:/67531/metadc788965,

https://www.osti.gov/servlets/purl/837757,

https://academic.microsoft.com/#/detail/1542043435

• https://core.ac.uk/display/71225604,

https://digital.library.unt.edu/ark:/67531/metadc782170/m2/1/high_res_d/821465.pdf,

https://digital.library.unt.edu/ark:/67531/metadc782170,

https://academic.microsoft.com/#/detail/2762516014

• https://digital.library.unt.edu/ark:/67531/metadc778789/m2/1/high_res_d/840802.pdf,

https://digital.library.unt.edu/ark:/67531/metadc778789,

https://academic.microsoft.com/#/detail/2758096890

DOIS: 10.2172/882878 10.2172/821465 10.2172/840802 10.2172/827160 10.2172/837757 10.2172/827151