Search Results - "Camerini, C.S."
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MFL signals and artificial neural networks applied to detection and classification of pipe weld defects
Published in NDT & E international : independent nondestructive testing and evaluation (01-12-2006)“…This work evaluates the use of artificial neural networks (ANNs) for pattern recognition of magnetic flux leakage (MFL) signals in weld joints of pipelines…”
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Assessment of weld thickness loss in offshore pipelines using computed radiography and computational modeling
Published in Applied radiation and isotopes (01-10-2009)“…In order to guarantee the structural integrity of oil plants it is crucial to monitor the amount of weld thickness loss in offshore pipelines. However, in…”
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Autonomous system for oil pipelines inspection
Published in Mechatronics (Oxford) (1999)“…Maintenance of oil pipelines is an issue of great concern for oil companies. Any possibility of leakage must be detected before the leakage occurs and a…”
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Materials characterization in petroleum pipeline using Compton Scattering technique
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (01-06-2003)“…In this paper Compton Scattering technique is analyzed as a possible tool for the characterization of materials inside draining petroleum pipelines. The study…”
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New magnetic techniques for inspection and metal-loss assessment of oil pipelines
Published in Journal of magnetism and magnetic materials (01-05-2001)“…Superconducting quantum interference device (SQUID) magnetometer has been used to detect metal-loss on the outside surface of small diameter pipes covered with…”
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Detection of paraffin deposition inside a draining tubulation by the Compton Scattering Technique
Published in Applied radiation and isotopes (01-10-1997)“…This work shows an application of the Compton Scattering Technique (CS) in the detection of the problem produced by the formation of paraffin (condensed…”
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