American Journal of Mechanical Engineering
ISSN (Print): 2328-4102 ISSN (Online): 2328-4110 Website: Editor-in-chief: Kambiz Ebrahimi, Dr. SRINIVASA VENKATESHAPPA CHIKKOL
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American Journal of Mechanical Engineering. 2013, 1(4), 82-88
DOI: 10.12691/ajme-1-4-2
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Active Condition Monitoring of a Marine Gas Turbine through Rotor Shaft Vibration Analysis

Ogbonnaya EA1, , Ugwu HU2, Poku R1 and Adigio EM1

1Department of Mechanical/Marine Engineering, Niger Delta University, Wilberforce Island, Yenagoa, Bayelsa State, Nigeria

2Department of Mechanical Engineering, Michael Okpara University of Agriculture, Umudike, Umuahia, Abia State, Nigeria

Pub. Date: May 25, 2013

Cite this paper:
Ogbonnaya EA, Ugwu HU, Poku R and Adigio EM. Active Condition Monitoring of a Marine Gas Turbine through Rotor Shaft Vibration Analysis. American Journal of Mechanical Engineering. 2013; 1(4):82-88. doi: 10.12691/ajme-1-4-2


While preventive and predictive maintenance have played their part in engine health monitoring, the problem of downtime maintenance has truly reached a serious level. Also, most companies have found out that their maintenance costs can be cut drastically by establishing a proactive line of defence. Most imminent faults in gas turbines often result from the vibration of the rotor shaft of the engine. Some of these faults that could lead to catastrophy include misalignment, imbalance, cracks and eccentricity. These defects are equally likely to lead to unscheduled downtime resulting to large economic losses. It is on this backdrop that the rotor shaft of a marine gas turbine system was isolated and used for condition monitoring to enunciate methods to reduce downtime. The need to study vibration which is one of the biggest threats to rotating equipment has become much required now than ever before. This project thus presents a case to monitor the condition of the gas turbine through its thermodynamic and rotor shaft vibration analyses. Selected measurements from an industrial gas turbine to detect changes in operating conditions of the plant were of immense help in setting the proactive measures for the plant. Simulation and analysis were achieved using high level java computer programming language and data collected from a gas turbine plant. The work shows that vibration reduces the active load of the engine. Thus, proactive maintenance monitoring programs should be employed in gas turbine usage to avoid the effects of vibration.

gas turbine rotor shaft vibration maintenance active condition monitoring

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