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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 108
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping
Paper 241

A 'Reliability based Maintenance' Model for Industrial Gas Turbines in Natural Gas Transmission Process with Life Extension Prospects

M. Salehi and A. Azari Barzandigh

Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran

Full Bibliographic Reference for this paper
M. Salehi, A. Azari Barzandigh, "A 'Reliability based Maintenance' Model for Industrial Gas Turbines in Natural Gas Transmission Process with Life Extension Prospects", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 241, 2015. doi:10.4203/ccp.108.241
Keywords: reliability, gas turbine, maintenance, natural gas transmission, preventative maintenance.

Summary
Industrial gas turbines are widely used in natural gas transmission processes as the main engine for driving both turbo-compressor and turbo-pump machines. High power output and extremely short start up time, make them the first choice in compressor station designs; however due to the complexity and high cost of operation (in both maintenance and failure scenarios) all operators perform "preventative maintenance" programs to reduce the down time to as little as possible and control both costs and failures. In this paper a land based industrial gas turbine model is considered 'as a reliability function' with the purpose of calculating the exact real time reliability in operational periods and forecast the upcoming reliability. With results of this study overhaul periods for the gas turbine could be optimized and replace current time/start methodology with the benefit of maximum economic gain from the system while simultaneously evading danger events. Actual usage and verification of this model on the National Iranian Gas Co. gas turbine is also discussed with results of over 23% more running time on overhaul periods.

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