НАПРЯМКИ РОЗВИТКУ ОЦІНЮВАННЯ ТА ЗАСТОСУВАННЯ КОРЕЛЯЦІЙНОГО ЗВ’ЯЗКУ МІЖ СИГНАЛАМИ У СИСТЕМАХ ТЕХНІЧНОГО ДІАГНОСТУВАННЯ
A development and search for new approaches to determining the correlation between data on the technical condition of energy sector facilities in Ukraine is due to the complication of diagnosing a significant amount of equipment due to its long-term operation and wear and tear. Ageing increases the...
Збережено в:
| Дата: | 2025 |
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| Автори: | , , , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Інститут електродинаміки НАН України, Київ
2025
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| Теми: | |
| Онлайн доступ: | https://techned.org.ua/index.php/techned/article/view/1753 |
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| Назва журналу: | Technical Electrodynamics |
Репозитарії
Technical Electrodynamics| Резюме: | A development and search for new approaches to determining the correlation between data on the technical condition of energy sector facilities in Ukraine is due to the complication of diagnosing a significant amount of equipment due to its long-term operation and wear and tear. Ageing increases the number of factors affecting the condition of equipment that need to be taken into account and quantitatively linked to the condition of the equipment by determining the appropriate informative correlation. However, common approaches to this definition often do not take into account the variety of diagnostic conditions and relevant time constraints, and therefore need to be developed and improved. The paper considers the diagnostics of underground pipelines as an example. The problem of promptly identifying depressurisation points in them is caused by the significant overall wear and tear of hundreds of kilometres of networks and their frequent damage. Increased wear and tear and intensified leakage repair activities increase the requirements for the accuracy and efficiency of leakage location and classification. This issue is especially acute in the post-war period. The paper describes the methods of development of leak detectors of the common correlation type, and provides an example of the corresponding technical implementation of the device. Both methods based on mutual correlation functions and entropy methods are considered. References 14, figure 1. |
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