Scipediacontent: Scipediacontent moved page Draft Content 390034800 to Lord et al 2013b

2021-01-21T13:19:42Z

Scipediacontent moved page Draft Content 390034800 to Lord et al 2013b

Scipediacontent: Created page with " == Abstract == Gas transmission pipelines are routinely inspected using a magnetizer-sensor assemblage, called a pig, which employs magnetic flux leakage (MFL) principles to..."

2021-01-21T13:19:39Z

Created page with " == Abstract == Gas transmission pipelines are routinely inspected using a magnetizer-sensor assemblage, called a pig, which employs magnetic flux leakage (MFL) principles to..."

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== Abstract ==

Gas transmission pipelines are routinely inspected using a magnetizer-sensor assemblage, called a pig, which employs magnetic flux leakage (MFL) principles to generate defect signals that can be used for characterizing defects in the pipeline[1]. Previously reported work[2] demonstrated that radial basis function(RBF) networks[3â5] can be employed to characterize MFL signals in terms of defect geometry. Further development of this research work, related to three dimensional defect characterization are reported elsewhere in these proceedings. This paper presents an alternate neural network approach based on wavelet functions to predict three dimensional defect profiles from MFL indications. Wavelet basis function neural networks are comprised of a hierarchical architecture and are capable of multiresolution functional approximation. They offer a powerful alternative to RBF based signal-defect mapping techniques, in that the level of output prediction accuracy can be controlled by the number of resolutions in the network architecture. Consequently, the network itself can be employed to generate measures of confidence for its prediction. Such confidence factors may prove to be extremely useful in pipeline inspection procedures since they can form a basis for subsequent remedial measures. The feasibility of employing a wavelet basis function network for characterizing defects in pipelines is demonstrated by predicting defect profiles from experimental magnetic flux leakage signals.

== Original document ==

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

* [https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=3547&context=qnde https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=3547&context=qnde]

* [http://link.springer.com/content/pdf/10.1007/978-1-4615-5947-4_96 http://link.springer.com/content/pdf/10.1007/978-1-4615-5947-4_96],
: [http://dx.doi.org/10.1007/978-1-4615-5947-4_96 http://dx.doi.org/10.1007/978-1-4615-5947-4_96]

* [https://link.springer.com/chapter/10.1007/978-1-4615-5947-4_96 https://link.springer.com/chapter/10.1007/978-1-4615-5947-4_96],
: [https://lib.dr.iastate.edu/qnde/1997/allcontent/96 https://lib.dr.iastate.edu/qnde/1997/allcontent/96],
: [https://core.ac.uk/display/38895262 https://core.ac.uk/display/38895262],
: [http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=3547&context=qnde http://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=3547&context=qnde],
: [https://rd.springer.com/chapter/10.1007/978-1-4615-5947-4_96 https://rd.springer.com/chapter/10.1007/978-1-4615-5947-4_96],
: [https://academic.microsoft.com/#/detail/386065154 https://academic.microsoft.com/#/detail/386065154]

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Lord et al 2013b - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 390034800 to Lord et al 2013b

Scipediacontent: Created page with " == Abstract == Gas transmission pipelines are routinely inspected using a magnetizer-sensor assemblage, called a pig, which employs magnetic flux leakage (MFL) principles to..."