A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES | |
Mandayam, Shreekanth ; Polikar, Robi ; Chen, John C. | |
Rowan University (United States) | |
关键词: 02 Petroleum; Pipelines; Nondestructive Testing; Data Processing; 42 Engineering; | |
DOI : 10.2172/840802 RP-ID : NONE RP-ID : FC26-02NT41648 RP-ID : 840802 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
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; and (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 algorithms for the effective management of data resulting from multi-sensor interrogation of gas transmission pipelines. Specifically, advanced visualization techniques were employed for immersive, interactive and navigable data representations.
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