@misc{Djaidir_Benrabeh_Detection,
 author={Djaidir, Benrabeh and Hafaifa, Ahmed and Kouzou, Abdallah and Guemana, Mouloud},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={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.},
 abstract={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.},
 type={artykuł},
 title={Detection of vibrations defects in gas transportation plant based on input/output data analysis: gas turbine investigations},
 keywords={vibrations detection, vibrations control, gas turbines, unstable phenomena, supervision system},
}