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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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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	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 doi:10.4203/ccp.108.241 purchase the full-text of this paper 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £75 +P&P)
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