Ensuring the Safety and Faultlessness Database in Smart-Systems at Analyzing of Technical and Economic Indicators of Power Installations
- 1Azerbaijan Technical University
- 2Azerbaijan State Oil and Industry University
- 3Azerbaijan Scientific-Research and Design-Prospecting Institute of Energetic
Abstract
The development of computer technologies, the transition from information to Smart-systems, an objective quantitative assessment of the individual reliability, efficiency and safety of electric power systems facilities are inextricably linked with the requirement to ensure the safety and accuracy of information databases. The Smart-system provides not only systematic information about the technical condition of equipment and installations, but also recommendations for organizing operation, maintenance and repair. Continuous monitoring of indicators characterizing the technical condition of equipment and installations is associated with high costs, which are not always justified. The relevance of the development of i Smart-systems for solving problems related to organizing technical maintenance and repair is also increasing due to the fact that at least half of the main equipment and installations of electric power systems have largely exhausted their service life. The use of such indicators as thermal efficiency reserve or the permissible number of short-circuit trips by a circuit breaker for technical condition management under these conditions leads to an increased risk of making an erroneous decision. Therefore, the urgency of the problem of ensuring the safety and faultlessness information databases of Smart-systems not only does not decrease with time, but has a constant tendency to increase. The presented material is devoted to the analysis of methods for ensuring the safety and faultlessness information in Smart technologies of energy systems. Both technical and organizational aspects, principles and approaches underlying the construction of reliable information management systems in the modern electric power industry are considered. A new approach is proposed using to recognizing gross errors in information data on the values of technical and economic indicators on the example of 300 MW power units running on gas-oil fuel. The essence of this approach incomes down to comparing the implementation of technical and economic indicators with the interval of their possible values. The proposed method it is possible to decrease the risks of erroneous recommendations, making erroneous decisions and spending excessive costs.The essence of this approach is to compare the actual values of technical and economic indicators with the range of their theoretically acceptable values. This method allows you to effectively minimize the risks of making erroneous recommendations and management decisions, and also allows you to significantly reduce excess operating costs.
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BibTeX
@article{muradaliyev2026ensuring,
title = {{Ensuring the Safety and Faultlessness Database in Smart-Systems at Analyzing of Technical and Economic Indicators of Power Installations}},
author = {aydin Muradaliyev and Samira Abdullayeva and Simuzar Ismailova},
journal = {Reliability: Theory \& Applications},
year = {2026},
month = jun,
doi = {10.66721/g8gwkp17},
url = {https://doi.org/10.66721/g8gwkp17},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - Ensuring the Safety and Faultlessness Database in Smart-Systems at Analyzing of Technical and Economic Indicators of Power Installations
AU - aydin Muradaliyev
AU - Samira Abdullayeva
AU - Simuzar Ismailova
PY - 2026
DA - 2026/06/01
JO - Reliability: Theory & Applications
DO - 10.66721/g8gwkp17
UR - https://doi.org/10.66721/g8gwkp17
AB - The development of computer technologies, the transition from information to Smart-systems, an objective quantitative assessment of the individual reliability, efficiency and safety of electric power systems facilities are inextricably linked with the requirement to ensure the safety and accuracy of information databases. The Smart-system provides not only systematic information about the technical condition of equipment and installations, but also recommendations for organizing operation, maintenance and repair. Continuous monitoring of indicators characterizing the technical condition of equipment and installations is associated with high costs, which are not always justified. The relevance of the development of i Smart-systems for solving problems related to organizing technical maintenance and repair is also increasing due to the fact that at least half of the main equipment and installations of electric power systems have largely exhausted their service life. The use of such indicators as thermal efficiency reserve or the permissible number of short-circuit trips by a circuit breaker for technical condition management under these conditions leads to an increased risk of making an erroneous decision. Therefore, the urgency of the problem of ensuring the safety and faultlessness information databases of Smart-systems not only does not decrease with time, but has a constant tendency to increase. The presented material is devoted to the analysis of methods for ensuring the safety and faultlessness information in Smart technologies of energy systems. Both technical and organizational aspects, principles and approaches underlying the construction of reliable information management systems in the modern electric power industry are considered. A new approach is proposed using to recognizing gross errors in information data on the values of technical and economic indicators on the example of 300 MW power units running on gas-oil fuel. The essence of this approach incomes down to comparing the implementation of technical and economic indicators with the interval of their possible values. The proposed method it is possible to decrease the risks of erroneous recommendations, making erroneous decisions and spending excessive costs.The essence of this approach is to compare the actual values of technical and economic indicators with the range of their theoretically acceptable values. This method allows you to effectively minimize the risks of making erroneous recommendations and management decisions, and also allows you to significantly reduce excess operating costs.
SN - 1932-2321
ER -