A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES | Zendy

Shreekanth Mandayam | Zendy; Robi Polikar | Zendy; John C. Chen | Zendy

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A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES

Author(s) -

Shreekanth Mandayam,

Robi Polikar,

John C. Chen

Publication year - 2004

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/827160

Subject(s) - magnetic flux leakage , sensor fusion , nondestructive testing , pipeline transport , pipeline (software) , suite , data mining , fusion , computer science , engineering , real time computing , artificial intelligence , mechanical engineering , physics , history , linguistics , philosophy , archaeology , magnet , quantum mechanics

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 designed, developed and exercised multisensor data fusion algorithms for identifying defect related information present in magnetic flux leakage, ultrasonic testing and thermal imaging nondestructive evaluation signatures of a test-specimen suite representative of benign and anomalous indications in gas transmission pipelines

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