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: Data Analysis;    Natural Gas Distribution Systems;    Pipelines;    Thermal Testing;    Algorithms;   

DOI  :  10.2172/837757
RP-ID  :  NONE
RP-ID  :  FC26-02NT41648
RP-ID  :  837757

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. (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, thermal imaging and acoustic emission nondestructive evaluation signatures of a test-specimen suite representative of benign and anomalous indications in gas transmission pipelines. Specifically, the algorithms presented in the earlier reports were augmented to predict information related to defect depth (severity).