Abstract
Magnetic flux leakage (MFL) as an efficient method for pipeline flaw detection plays important role in pipeline safety. This nondestructive test technique assesses the health of the buried pipeline. The signal is gathered by an array of hall-effect sensors disposed at the magnetic neutral plane of a pair of permanent magnet in the pipeline inspection gauge (PIG) clinging to the inner surface of the pipe wall. The magnetic flux measured by the sensors reflects the health condition of the pipe. The signal is influenced by not only the condition of the pipe, but also by the lift-off value of the sensors and various properties of electronic component. The consistency of the position of the sensors is almost never satisfied and each sensor measures differently. In this paper, a new scheme of channel equalization is proposed for MFL signal in order to correct sensor misalignments, which eventually improves accuracy of defect characterization. The algorithm proposed in this paper is adaptive to the effects of error on the disposition of the sensor due to manufacturing imperfections and movements of the sensors. The algorithm is tested by data acquired from an experimental pipeline. The results show the effectiveness of the proposed algorithm.
Highlights
Magnetic flux leakage (MFL) is a widely used nondestructive testing (NDT) methods for pipeline inspection
A PCA based flaw detection algorithm is given in this paper to find the location of the flaw signal
An ELM is trained using training data set to learn the character of the normal condition of the pipe for channel equalization
Summary
MFL is a widely used nondestructive testing (NDT) methods for pipeline inspection. The inspection machine is usually called PIG. Mukhopadhyay and Srivastava [4] proposed wavelet based technique to denoise the signal of the MFL inspection. Other factors influence the factors mentioned above can impact the output of the signal, such as the difference of the sensors location caused by assembly, the shake when the detector running in the pipeline, and so forth. An adaptive channel equalization algorithm to deal with the problem of channel-to-channel mismatch of MFL signals is given in Mathematical Problems in Engineering [12]. A new adaptive channel equalization algorithm to minimize channel-to-channel mismatch is proposed for MFL signals. A PCA based flaw detection algorithm is given in this paper to find the location of the flaw signal.
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