Mohammed Maqbool

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In this paper, a customized Fuzzy Inference System is presented to classify the corrosion and distinguish it from the geometric defects or normal state of the steel pipes used in gas/petroleum industry. The presented strategy is hybrid in the sense that it utilizes both the soft computing as well as conventional parametric modeling through H<sub>infin</sub>(More)
In this paper, an inspection system has been presented that uses Laser-Ultrasound (LU) technique for Nondestructive testing (NDT) of metallic structures with specific interest in Oil &amp; Gas sector. While the developed system is the first one of its kind in the Middle-Eastern region, the nature of signals are quite unique as well and traditional signal(More)
In this paper, infrared (IR) imaging technique is used in conjunction with image deconvolution algorithms in order to enhance detection capabilities of the NDT personnel in detecting defects such as cracks, voids, and pitting. The main idea utilized here is the fact that the heat distribution remains fairly homogenous in a healthy metal and can be seen as a(More)
This paper presents a methodology for classifying the common defects in steel pipelines for transporting petroleum and gas. Usually, the nondestructive evaluation (NDE) experts in the industry judges the defect type by mere observation which, based on the experience, may or may not be correct. The proposed methodology has attempted to map this heuristic(More)
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