Open AccessA Data Fusion System for the Nondestructive Evaluation of Non-Piggable Pipes
Author(s) -
Shreekanth Mandayam,
Robi Polikar,
John C. Chen
Publication year - 2006
Language(s) - English
Resource type - Reports
DOI - 10.2172/882878
Subject(s) - sensor fusion , interrogation , pipeline (software) , pipeline transport , sizing , visualization , data mining , systems engineering , computer science , identification (biology) , engineering , real time computing , reliability engineering , artificial intelligence , mechanical engineering , art , botany , archaeology , biology , visual arts , history
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. This final report summarizes all research activities conducted by Rowan University during the project period. This includes the design and development of experimental validation test platforms, the design and development of data fusion algorithms for defect identification and sizing, and finally, the design and development of advanced visualization algorithms for the effective management of data resulting from multi-sensor interrogation of gas transmission pipelines