Optimize a RFID-based turbine maintenance model - A preliminary study

Jrjung Lyu, Tung Liang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Pages501-505
Number of pages5
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 - Singapore, Singapore
Duration: 2008 Dec 82008 Dec 11

Publication series

Name2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008

Other

Other2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
CountrySingapore
CitySingapore
Period08-12-0808-12-11

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All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Industrial and Manufacturing Engineering

Cite this

Lyu, J., & Chen, T. L. (2008). Optimize a RFID-based turbine maintenance model - A preliminary study. In 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 (pp. 501-505). [4737919] (2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008). https://doi.org/10.1109/IEEM.2008.4737919