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

Abstract

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).

Authors:
; ;
Publication Date:
Research Org.:
Rowan University (US)
Sponsoring Org.:
(US)
OSTI Identifier:
837757
DOE Contract Number:  
FC26-02NT41648
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 Feb 2005
Country of Publication:
United States
Language:
English
Subject:
03 NATURAL GAS; NATURAL GAS DISTRIBUTION SYSTEMS; ACOUSTIC EMISSION TESTING; ALGORITHMS; DEFECTS; DESIGN; MAGNETIC TESTING; PIPELINES; ULTRASONIC TESTING; THERMAL TESTING; DATA ANALYSIS

Citation Formats

Mandayam, Shreekanth, Polikar, Robi, and Chen, John C. A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES. United States: N. p., 2005. Web. doi:10.2172/837757.
Mandayam, Shreekanth, Polikar, Robi, & Chen, John C. A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES. United States. https://doi.org/10.2172/837757
Mandayam, Shreekanth, Polikar, Robi, and Chen, John C. 2005. "A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES". United States. https://doi.org/10.2172/837757. https://www.osti.gov/servlets/purl/837757.
@article{osti_837757,
title = {A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES},
author = {Mandayam, Shreekanth and Polikar, Robi and Chen, John C},
abstractNote = {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).},
doi = {10.2172/837757},
url = {https://www.osti.gov/biblio/837757}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 01 00:00:00 EST 2005},
month = {Tue Feb 01 00:00:00 EST 2005}
}