Journal of System Simulation
Abstract
Abstract: In the modern shipbuilding industry, gas turbines are increasingly becoming the main power supply devices for ships with their good overall performance. The assessment of their overall performance is very important in the development and introduction of gas turbines. By using the grey target theory, a comprehensive gas turbine performance evaluation model is constructed and the grey target method can easily deal with the evaluation problem which has the characteristics of "small amount of data, lean information, and uncertainty". By discussing the influence of distinguishing coefficient in the algorithm, a method for determining the value of the distinguishing coefficient is proposed to improve the grey target algorithm. A case study is performed to verify the feasibility and practicality of the method.
Recommended Citation
Wang, Tongqing; Shan, Mei; Li, Xiaobo; and Liu, Jiajie
(2019)
"Improvement of Grey Target Algorithm and Its Application in Assessment of Marine Gas Turbine,"
Journal of System Simulation: Vol. 30:
Iss.
11, Article 51.
DOI: 10.16182/j.issn1004731x.joss.201811051
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/51
First Page
4477
Revised Date
2018-06-30
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201811051
Last Page
4484
CLC
TP391
Recommended Citation
Wang Tongqing, Mei Shan, Li Xiaobo, Liu Jiajie. Improvement of Grey Target Algorithm and Its Application in Assessment of Marine Gas Turbine[J]. Journal of System Simulation, 2018, 30(11): 4477-4484.
DOI
10.16182/j.issn1004731x.joss.201811051
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