Research on Method for Monitoring Service Life of Hot-End Components in Gas Turbine based on Condition Analysis
- DOI
- 10.2991/icmse-15.2015.234How to use a DOI?
- Keywords
- gas turbine; hot-end components; service life loss; monitoring; power load.
- Abstract
The service life of hot-end components in gas turbine for gas-fired power plant is hard to detect and evaluate. The relationship between temperature characteristics of hot-end components and the power load is established using the basic theory of gas turbine power cycle. The operating mode of gas turbine unit is distinguished and determined through the use of electricity load and the rotor rotational speed. The equivalent operation hours and service life loss of the gas turbine and its hot-end components under various conditions are obtained by calculation. Research results show that the method for monitoring service life of hot-end components in gas turbine based on power load analysis can realize the real-time monitoring and assessment of the service life loss and residual life for hot-end components through the measuring parameters from the unit control system, which is advantageous for timely and accurately assessment of the reliability and cumulative life loss of hot-end components, and so to provide the reliable operation of the gas turbine hot-end components.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yong-Chun Liang AU - Zhang-Jun Huang AU - Lu-Ping Li AU - Xue-Zhi Tang AU - Yi-Qian Xiao PY - 2015/12 DA - 2015/12 TI - Research on Method for Monitoring Service Life of Hot-End Components in Gas Turbine based on Condition Analysis BT - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering PB - Atlantis Press SP - 1285 EP - 1289 SN - 2352-5401 UR - https://doi.org/10.2991/icmse-15.2015.234 DO - 10.2991/icmse-15.2015.234 ID - Liang2015/12 ER -