Academic Journal
Detection of Vibrations Defects in Gas Transportation Plant Based on Input / Output Data Analysis: Gas Turbine Investigations
| العنوان: | Detection of Vibrations Defects in Gas Transportation Plant Based on Input / Output Data Analysis: Gas Turbine Investigations |
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| المؤلفون: | B. Djaidir, A. Hafaifa, M. Guemana, A Kouzou |
| المصدر: | International Journal of Applied Mechanics and Engineering, Vol 25, Iss 4, Pp 42-58 (2020) |
| بيانات النشر: | University of Zielona Góra, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Mechanical engineering and machinery |
| مصطلحات موضوعية: | vibrations detection, vibrations control, gas turbines, unstable phenomena, supervision system, Mechanical engineering and machinery, TJ1-1570 |
| الوصف: | In oil and gas industrial production and transportation plants, gas turbines are considered to be the major pieces of equipment exposed to several unstable phenomena presenting a serious danger to their proper operation and to their exploitation. The main objective of this work is to improve the competitiveness performance of this type of equipment by analyses and control of the dynamic behaviors and to develop a fault monitoring system for the equipment exposed and subject to certain eventual anomalies related to the main components, namely the shaft and the rotors. This study will allow the detection and localization of vibration phenomena in the studied gas turbine based on the input / output data. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1734-4492 2353-9003 2020-0048 |
| Relation: | https://www.ijame-poland.com/Detection-of-Vibrations-Defects-in-Gas-Transportation-Plant-Based-on-Input-Output,166813,0,2.html; https://doaj.org/toc/1734-4492; https://doaj.org/toc/2353-9003 |
| DOI: | 10.2478/ijame-2020-0048 |
| URL الوصول: | https://doaj.org/article/848bd8e721894a9da8c180b4cc77bf84 |
| رقم الانضمام: | edsdoj.848bd8e721894a9da8c180b4cc77bf84 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 17344492 23539003 20200048 |
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| DOI: | 10.2478/ijame-2020-0048 |