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A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES
| 题名： | A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES |
| 作者： | John C. Chen;Robi Polikar;Shreekanth Mandayam; |
| 关键词： | 03 NATURAL GAS; NATURAL GAS DISTRIBUTION SYSTEMS; ACOUSTIC EMISSION TESTING; ALGORITHMS; DEFECTS; DESIGN; MAGNETIC TESTING; PIPELINES; ULTRASONIC TESTING; THERMAL TESTING; DATA ANALYSIS |
| 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). |
| 报告类型： | 科技报告 |
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