DocumentCode :
2223668
Title :
Optimize a RFID-based turbine maintenance model - a preliminary study
Author :
Lyu, JrJung ; Chen, Tung-Liang
Author_Institution :
Dept. of Ind. & Inf. Manage., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
501
Lastpage :
505
Abstract :
To consolidate the balance of sustained generator and diminished maintenance cost in the power plant is one of the most desired goals of a plant administrator. This goal, in fact, can be fulfilled by a proper turbine maintenance policy. This study presented the use of total productive maintenance and the development of turbine prevention maintenance models can enhance the efficiency of equipments. The probabilistic failure analysis model can determine the maintenance cycle and best maintenance time of turbine by data analysis. In addition, it is shown that applying the radio frequency identification (RFID) in a prevention maintenance operational model could generate cost-saving effectiveness.
Keywords :
preventive maintenance; radiofrequency identification; steam turbines; RFID-based turbine maintenance; plant administrator; radio frequency identification; sustained generator; total productive maintenance; turbine maintenance policy; turbine prevention maintenance; turbine-generated power; Generators; Geothermal power generation; Monitoring; Nuclear power generation; Power generation; Power system modeling; Preventive maintenance; Radiofrequency identification; Solar power generation; Turbines; RFID; total productive maintenance; turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
Type :
conf
DOI :
10.1109/IEEM.2008.4737919
Filename :
4737919
Link To Document :
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