Using Technologies for Calculating the Noise Characteristics to Assess the Technical Condition of Building Structures

Articles in Press

Document Type : Research Paper

Authors
Naila Musaeva 1 , 2
Telman Aliev 1 , 2 , 3
Matanat Suleymanova 1
1 Department of Information Technology and Systems, Azerbaijan University of Architecture and Construction, 11, A. Sultanova, Baku Az1073, Azerbaijan
2 Laboratory of Intelligent Signal Analysis and Processing, Institute of Mathematics, 68, B. Vahabzada, Baku Az1141, Azerbaijan
3 Advisor of the President of Azerbaijan National Academy of Sciences, 30, Istiglaliyyat str., Baku, Az1001, Azerbaijan
10.22055/jacm.2026.49337.5918
Abstract
Building structures undergo physical and moral deterioration over time, developing destructive processes that cause visible and hidden defects, such as cracks, deformations, sagging, corrosion and oxidation of metal elements. Hidden defects are particularly dangerous as they can cause sudden structural collapses if left undetected. While existing monitoring systems use sensors for detection of hidden defects, processing incoming noisy signals, which consist of a useful component and noise, they cannot effectively separate the noise from the useful signal component, even though analyzing these components individually yields the most informative data. To address this, this paper introduces algorithms and technologies that separately calculate and analyze the characteristics of the noise and useful signal components to detect hidden defects at their earliest stages. While deviations in the useful component's estimates (such as variance, standard deviation, high-order moments, and distribution functions) indicate benign structural changes caused by external environmental factors, variations in the noise characteristics specifically signal the formation of physical defects. Integrating these algorithms into monitoring systems enables early damage detection, prevents catastrophic emergencies. The study directly supports Sustainable Development Goals (SDG 9: Industry, Innovation and Infrastructure, and SDG 11: Sustainable Cities and Communities).
Keywords
Technical condition
Building structures
Noisy signal
Noise
Noise characteristics
Subjects

Publisher’s Note Shahid Chamran University of Ahvaz remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

[1] Sazonova, S., Nikolenko, S., Akamsina, N., Sysoev, D., Stenyukhin, L., Monitoring of the technical condition of structures and building materials of an elevator silo housing, XIV International Conference on Transport Infrastructure: Territory Development and Sustainability (TITDS-XIV-2023), 471, 2024.
[2] Umanets, I., Basarab, V., Monitoring of the technical condition of buildings and structures under operational conditions, Ways to Improve Construction Efficiency, 51, 2023, 194-205.
[3] Skachkova, M.E., Lepihina, O.Y., Ignatova, V.V., Information support of monitoring of technical condition of buildings in construction risk area, International Conference Information Technologies in Business and Industry, Journal of Physics: Conf. Series, 1015, 2018, 042056.
[4] Sha, X., Zhang, X., High rise building steel structure monitoring and energy efficiency optimization based on BIM and strain sensor vibration signal processing, EAI Endorsed Transactions on Energy Web, 11, 2024, 1-10.
[5] Qureshi, A.H., Alaloul, W.S., Wing, W.K., Saad, S., Musarat, M.A., Ammad, S., Kineber, A.F., Automated progress monitoring technological model for construction projects, Ain Shams Engineering Journal, 14, 2023, 102165.
[6] Musaeva, N.F., A robust method of estimation under 'polluting' rough errors, Automatic Control and Computer Sciences, 6, 2003, 50–64.
[7] Musaeva, N.F., Technology for determining the magnitude of robustness as an estimate of statistical characteristic of noisy signal, Automatic Control and Computer Sciences, 39, 2005, 64–74.
[8] Aliev, T.A., Musaeva, N.F., Technologies for monitoring the technical condition of transport infrastructure objects based on the coefficient of correlation between critical values of noise and useful signals, Transport Problems: An International Scientific Journal, 17, 2022, 213-224.
[9] Aliev, T.A., Musaeva, N.F., Suleymanova, M.T., Gazizade, B.I., Technology for calculating the parameters of the density function of the normal distribution of the useful component in a noisy process, Journal of Automation and Information Sciences, 48, 2016, 39-55.
[10] Aliev, T.A., Musaeva, N.F., Technologies for early monitoring of technical objects using the estimates of noise distribution density, Journal of Automation and Information Sciences, 51, 2019, 12-23.
[11] Aliev, T.A., Musaeva, N.F., Gazizade, B.I., Calculation algorithms of the high order moments of interference of noisy signals, Journal of Automation and Information Sciences, 50, 2018, 1-13.
[12] Abdullayev, S.X., Abdullayev, Z.S., Abdullayeva, O.S., Beknazarova, S.S., Models of entropy encoding of television images in video information systems, Proceedings of SPIE—The International Society for Optical Engineering, 14014, 2025, 1401409.
[13] Kussainov, A., Zhomartkyzy, G., Thinakaran, R., Architecture of an intelligent predictive analytics system for gas environment monitoring based on sensor-series IoT devices, International Journal of Advanced Computer Science and Applications, 17, 2026, 485–490.
[14] Kakharov, Z., Ashimov, R., Dynamics of production processes with the energy method of calculations, Lecture Notes in Civil Engineering, 791, 2026, 470–479.
[15] Alam, M.N., Rahim, M.A., Hossain, M.N., Tunç, C., Dynamics of damped and undamped wave natures of the fractional Kraenkel-Manna-Merle system in ferromagnetic materials, Journal of Applied and Computational Mechanics, 10, 2024, 317–329.
[16] Aliev, T.A., Noise Control of the Beginning and Development Dynamics of Accidents, Springer, Cham, Switzerland, 2019.
[17] Aliev, T.A., Musaeva, N.F., Suleymanova, M.T., Gazizade, B.I., Analytical Representation of the Density Function of Normal Distribution of Noise, Journal of Automation and Information Sciences, 47, 2015, 24–40.
[18] Aliev, T.A., Musaeva, N.F., Quluyev, Q.A., Rzayeva, N.E., Technologies for Analyzing and Calculating the Relationship between the Useful Component and the Noise of Noisy Signal in Monitoring Systems, Mekhatronika, Avtomatizatsiya, Upravlenie, 23, 2022, 628–636.
[19] Aliev, T.A., Musaeva, N.F., Suleymanova, M.T., Gazizade, B.I., Sensitive Algorithms for Identifying the Degree of Fault Growth in Sucker Rod Pumping Units, Mekhatronika, Avtomatizatsiya, Upravlenie, 18, 2017, 94–102.
[20] Aliev, T.A., Musaeva, N.F., Gazizade, B.I., Technologies for Monitoring the Dynamics of Damage Development in Drilling Rigs Using High-Order Moments of the Noise, Mekhatronika, Avtomatizatsiya, Upravlenie, 21, 2020, 213–223.
Journal of Applied and Computational Mechanics

Articles in Press, Accepted Manuscript
Available Online from 03 September 2026