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

Technical Report · Tue Feb 01 00:00:00 EST 2005

DOI:https://doi.org/10.2172/837757· OSTI ID:837757

Mandayam, Shreekanth; Polikar, Robi; Chen, John C

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).

• Research Organization: Rowan University (US)
• Sponsoring Organization: (US)
• DOE Contract Number: FC26-02NT41648
• OSTI ID: 837757
• Resource Relation: Other Information: PBD: 1 Feb 2005
• Country of Publication: United States
• Language: English

Related Subjects

03 NATURAL GAS
NATURAL GAS DISTRIBUTION SYSTEMS
ACOUSTIC EMISSION TESTING
ALGORITHMS
DEFECTS
DESIGN
MAGNETIC TESTING
PIPELINES
ULTRASONIC TESTING
THERMAL TESTING
DATA ANALYSIS