Mobile QR Code QR CODE : Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.

References

1 
Kim Y. S., Kang H. G., Kang K. S., Min S. H., 2016, The Study for upgrading of the power plant technical data and O&M method improving, KIEE Summer Conference 2016, pp. 610-611Google Search
2 
Yusni Ali, Nugraha Herry, Sinisuka Ngapuli I., 2015, Life cycle management on the operation of 400 MW power generation, 10th International Conference on Advances in Power System Control, Operation & Management (APSCOM 2015), pp. 2-6DOI
3 
Derek Li S. H., Martin Lam S. S., 2015, Operation and maintenance strategies of a coal-fired Power Station in Hong Kong, 10th International Conference on Advances in Power System Control, Operation & Management (APSCOM 2015), pp. 1-6DOI
4 
Joo Y. J., Kim S. M., Seo S. B., Kim M. Y. Ma S. S., 2009, A Performance Monitoring Method for Combined Cycle Power Plants, The KSFM Journal of Fluid Machinery, Vol. 12, No. 5, pp. 39-46DOI
5 
Kim T. H. Park B. C., 2015, Boiler Performance Characteristics Change by UC Contents Increase for Coal Fired Power Plant, KOSCO SYMPOSIUM Conference, pp. 99-102Google Search
6 
Seo S. I., Park H. Y. Lee S. N., 2009, Computational Studies on the Combustion and Thermal Performance of the Coal Fired Utility Boiler : Temperature and Thermal Energy Distribution, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 21, No. 3, pp. 157-166Google Search
7 
Moon C. J., Kim Y. G Chung H. J., 2004, A Study on Model Development of Boiler Combustion System on Coal Fired Power Plant, Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 18, No. 3, pp. 65-73DOI
8 
2007, Thermal and combined power plant facilities Performance Test Guidelines, Korea Western Power Co., Ltd.(KOWEPO)Google Search
9 
Zhou Guowen, Li Xingshuo, Liu Jinfu, Yu Daren, Wang Fengliang, 2017, Performance monitoring of steam turbine regenerative system based on extreme learning machine, 2017 Prognostics and System Health Management Conference PHM-Harbin, pp. 1-7DOI