Open AccessA DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES
Author(s) -
Shreekanth Mandayam,
Robi Polikar,
John C. Chen
Publication year - 2004
Language(s) - English
Resource type - Reports
DOI - 10.2172/827151
Subject(s) - magnetic flux leakage , nondestructive testing , sensor fusion , pipeline transport , ultrasonic sensor , interrogation , pipeline (software) , test data , fusion , acoustics , ultrasonic testing , leakage (economics) , engineering , computer science , mechanical engineering , artificial intelligence , medicine , history , linguistics , philosophy , physics , software engineering , archaeology , macroeconomics , magnet , economics , radiology
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
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