Rebars detection and identification

Keywords: nondestructive testing NDT; nondestructive evaluation NDE; magneto-optical (MO) sensor; anisotropic magneto resistance (AMR) sensor; reinforcement bars detection; rebars; concrete inspection; reinforced concrete

The data is utilized in the articles:
1. Frankowski P. K. Association Rules Analysis for Enhanced Signal Evaluation: Uncovering Exclusive Patterns in Identifying Reinforced Concrete Parameters, IEEEXplore proceedings on 17th International Conference on Information Technology and Electrical Engineering (ICITEE), Bangkok, Thailand, 2026, pp. 1-6, https://doi.org/10.1109/ICITEE66631.2025.11338237
2. Frankowski P.K., Majzner P., Czapliński W., Stawicki T. Hybrid AI Framework Based on Fuzzy Rough Sets for Two-Dimensional Magnetic Evaluation of Reinforced Concrete Structures. In I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences, 2025. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.59

Programing lenguage: Matlab

Content: Magnetic Flux Leakage measurements with AMR sensor over reinforced concrete sample with a single rebar.

The purpose of these measurements is to determine the location and parameters of reinforcing bars within a reinforced concrete sample, serving as a preliminary step before detecting reinforcement corrosion with the M5 method.

files:
NN.mat - same pole polarization
NS.mat - opposite pole polarization
NIC.mat - no polarization

waveforms data name:
two first letters - a type of polarization
third-fourth letters - spatial component
last two signs - concrete cover thickness in (mm)