Technology of Adaptive Control of the Beginning of the Latent Period of Accidents of Objects
Nowadays the number of unexpected accidents depends to a great extent on the qualification of the personnel, who on the basis of the accumulated experience and the information received from the control systems intuitively determine the current technical condition of the object and the beginning of possible accidents. Sometimes their decision is too late and accidents occur. Usually, accidents occur as a result of occurrence and development of various malfunctions and at this time objects go into the latent period of emergency state, there noise emerges, correlated with the signal g(t) under control. Here, depending on the nature of the malfunction the dynamics of technological processes changes, under the influence of which, the spectra of useful signals X(t) and noise ε(t), g(t) = X(t) + ε(t) also change. When using the traditional technology, the noise is filtered. This introduces an additional error in the result of signal analysis, leading to a loss of important diagnostic information. To solve the problems of control of the beginning of the latent period of accidents it is proposed to use the estimate of the cross-correlation function between the useful signal and the noise as an informative attribute, using the technology of adaptive sampling of the analyzed signals g(t). To ensure the adequacy of the results of control by combining the proposed and traditional technologies information is formed about the beginning of the latent period of accidents, which allows the master to determine the time of the beginning of the latent period of accidents with sufficient reliability.
Authors
- Т. А. Алиев (ORCID: https://orcid.org/0000-0001-6435-5933)
- A. I. Mammadova (ORCID: https://orcid.org/0000-0002-2576-9145)
Institutions
- Azerbaijan University of Architecture and Construction (AZ)
Publication Details
- Journal
- Mekhatronika Avtomatizatsiya Upravlenie
- Published
- 2025-02-05
- DOI
- https://doi.org/10.17587/mau.26.77-83
- Primary Topic
- Engineering Diagnostics and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00