Characterization of Defect for Magnetic Flux Leakage in Non-Destructive Test using I-Kaztm
Nor Afandi Sharif1, Rizauddin Ramli2, Mohd Zaki Nuawi3, Khairulbadri Ahmad4
1Nor Afandi Sharif *, Industrial Automation and Control, Department of Electrical Engineering, German Malaysian Institute, Bangi, Malaysia.
2Rizauddin Ramli, Centre for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia.
3Mohd Zaki Nuawi, Centre for Integrated Design for Advanced Mechanical System (PRISMA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia.
4Khairulbadri Ahmad, Industrial Automation and Control, Department of Electrical Engineering, German Malaysian Institute, Bangi, Malaysia.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 881-886 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6041018520/2020©BEIESP | DOI: 10.35940/ijrte.E6041.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The application of hall sensors in Magnetitic Flux Leakage (MFL) has played an important role in Above Storage Tank (AST) on detection of defect caused by corrosion to improve productivity and to avoid catastrophe. The MFL sensor measured magnetic flux distribution in three axes Bx, By and Bz. Currently, there are several signal monitoring methods constructed by analysing MFL signal distribution upon defect detection. This paper presents the methodology of optimized Integrated Kurtosis-based Algorithm for Z-filter (I-Kaz TM) Coefficient using multilevel signal decomposition technique to analyse the MFL signal distribution on the defect in the correlation of MFL scanning device speed and position. The MFL scanning device comprises 11 hall effect sensors position in array coupled with a linear guide to ensuring a constant velocity of scanning. In order to obtain an optimum signal distribution, I-Kaz TM 3D is proposed as one of the derivatives of I-Kaz TM to analyse multiple velocities of scanning. The characterization of the defect can be estimated by analysing the deflection of magnetic flux leakage in the y-axis, By as the scanner approach the defect region before being analysed by I-Kaz TM from the beginning until the end of the workpiece.
Keywords: Magnetic Flux Leakage, Kurtosis-based alghorith, I-KAZTM , Hall effect sensors
Scope of the Article: Nondestructive Testing and Evaluation.