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Improved Ultrasonic Offshore Oil Pipeline Thickness Accurate Detection Using Hilbert-Huang Transform and Elman Neural Network
Elman neural network Hilbert-Huang transform Feature extraction
2009/7/27
Pipeline flaw detection and safety evaluation are very important because of internal corrosion usually caused by the presence of the water (salty or not), and external damage by anchors or other equip...
Research on Recognition Algorithm of Offshore Oil Pipeline Defect Inspection Based on Magnetic Flux Leakage Method
Magnetic flux leakage Pipeline inspection WBF neural network Multiresolution
2009/7/24
Pipeline safety evaluation is an important issue in the industry. Based on magnetic flux leakage (MFL) method, this paper presents an automated inspection device to inspect pipeline defects, analyzes...
Three-dimensional Finite Element Analysis of Magnetic Flux Leakage Signals Caused by Transmission Pipeline Complex Corrosion
Finite element analysis Magnetic flux leakage Non destructive testing
2009/7/24
The most commonly used and cost effective method of transmission pipeline non destructive testing (NDT) utilizes the magnetic flux leakage (MFL) technique. The corrosion pits occur in many and comple...
Automatic Data Acquisition System for Offshore Oil Pipeline Magnetic Flux Leakage On-line Inspection
Pipeline inspection Magnetic flux leakage Adaptive filter Data compression
2009/7/24
In order to assure the safety of oil pipeline transmission, it is very important to continue routine inspection of offshore pipelines to identify defects or corrosions as early as possible. A high-sp...