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The use of learning algorithms for text classification assumes the availability of a large amount of documents which have been organized and labeled correctly by human experts for use in the training phase. Unless the text documents in question have been in existence for some time, using an expert system is inevitable because manual organizing and labeling of thousands of groups of text documents...
This work proposes a long range ultrasonic transducers technique in conjunction with an active incremental Support Vector Machine (SVM) classification approach that is used for real-time pipeline defects prediction and condition monitoring. Oil and gas pipeline defects are detected using various techniques. One of the most prevalent techniques is the use of “smart pigs” to travel along the pipeline...
In this paper we discuss an approach to classify different level of defects on a pipeline. The proposed techniques implemented on a lab scale experimental rig and tested using real-time signal. The signal is acquired using Long Range Ultrasonic Transducer (LRUT) then classified using Neural Network (NN). The Neural Network was able to classify the different signal of different level of defects.
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