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