Abstract
It is noted that at the moment of formation of damage in industrial facilities, additional noise appears, which correlates with the useful component of the noisy signal. As a result, the calculated estimates of the characteristics of the noisy signal do not allow assessing the technical condition of the facility adequately. It is shown that it is the characteristics of this noise that are the most informative when solving monitoring problems. Therefore, the algorithms for calculating the estimates of the characteristics of the correlated noise are developed. A database of informative attributes of the technical condition of an industrial facility is created. It is shown that the database consists of estimates of cross-correlation functions and correlation coefficients between the useful signal and the noise, as well as of high-order moments of the noise at different time instants. The technology for analyzing the technical condition of a facility by means of this database is developed. It is noted that the application of the proposed techniques in monitoring and control systems makes it possible to detect defects and malfunctions of industrial facilities in the latent period of formation, which allows preventing accidents with catastrophic consequences.
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Aliev, T., Musaeva, N. (2023). Creating a Database of Estimates of Noise Characteristics for Monitoring the Technical Condition of Industrial Facilities. In: Shahbazova, S.N., Abbasov, A.M., Kreinovich, V., Kacprzyk, J., Batyrshin, I.Z. (eds) Recent Developments and the New Directions of Research, Foundations, and Applications. Studies in Fuzziness and Soft Computing, vol 422. Springer, Cham. https://doi.org/10.1007/978-3-031-20153-0_10
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