Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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| Title: | Разработка модели выбора диагностических и прогностических параметров и модели трендевого анализа состояния авиационного газотурбинного двигателя ДТ-18Т на основе полетной информации |
| Other Titles: | Development of diagnostic and prognostic parametrs selection model and jet engine DT-18T trend analysis model build on flight information |
| Authors: | Зотин, Н.А. |
| Issue Date: | 2012 |
| Publisher: | СГАУ |
| Citation: | Зотин, Н. А. Разработка модели выбора диагностических и прогностических параметров и модели трендевого анализа состояния авиационного газотурбинного двигателя ДТ-18Т на основе полетной информации = Development of diagnostic and prognostic parametrs selection model and jet engine DT-18T trend analysis model build on flight information / Н. А. Зотин // Самолетостроение России. Проблемы и перспективы: материалы симпозиума с международным участием / Самар. гос. аэрокосм. ун-т. – Самара: СГАУ, 2012. – C. 200-201. |
| Abstract: | At the present time there isn’t prognostic and diagnostic methods, that provide to recognize in required time jet engine condition generally and condition of jet engine DT-18T concretely. This fact lead to need of diagnostic and prognostic parameters selection model development and construction of jet engine health prediction model. This models that build on flight information processing will be discussed in this paper. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/20436 |
| Appears in Collections: | Самолетостроение России. Проблемы и перспективы |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 200-201.pdf | Основная статья | 1.5 MB | Adobe PDF | View/Open |
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