FAULTS DETECTION IN GAS TURBINE ROTOR USING VIBRATION ANALYSIS UNDER VARYING CONDITIONS

被引:21
作者
Djaidir, Benrabeh [1 ]
Hafaifa, Ahmed [1 ]
Kouzou, Abdallah [1 ]
机构
[1] Univ Djelfa, Fac Sci & Technol, Appl Automat & Ind Diagnost Lab, Djelfa, Algeria
关键词
default bearings; dynamic behavior; faults detection; gas turbine; monitoring system; SYSTEM; DIAGNOSIS; ENGINE; BLADE;
D O I
10.15632/jtam-pl.55.2.393
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Monitoring of rotating machines is a very important task in most industrial sectors, which requires a chosen number of performance indicators during the exploitation of such kind of equipments. Indeed, for understanding the undesirable phenomena complexity of the industrial systems under operation, a reliable and an accurate mathematical modeling is required to ensure the diagnosis and the control of these phenomena. This work proposes development of a fault monitoring system of a gas turbine type GE MS 3002 based on vibration analysis technique using spectral analysis tools. The obtained results prove the effectiveness of the presented monitoring tool approach which is applied on the gas turbine, for avoiding the operation under vibration mode and for generating optimal performance during the exploitation of the gas turbine.
引用
收藏
页码:393 / 406
页数:14
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