灰靶算法的改进及在舰用燃气轮机评估中的应用

doi:10.16182/j.issn1004731x.joss.201811051

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (11): 4477-4484.doi: 10.16182/j.issn1004731x.joss.201811051

灰靶算法的改进及在舰用燃气轮机评估中的应用

王同庆, 梅珊, 李小波, 刘佳杰

国防科技大学系统工程学院,湖南长沙 410073

收稿日期:2018-05-30 修回日期:2018-06-30 发布日期:2019-01-04
作者简介:王同庆(1989-),男,山东临邑,硕士生,研究方向为体系工程与体系仿真;梅珊(1981-),女,湖南永州,博士,副教授,研究方向为体系工程与体系仿真;李小波(1983-),男,湖南衡阳,博士,讲师,研究方向为体系工程与体系仿真。

Improvement of Grey Target Algorithm and Its Application in Assessment of Marine Gas Turbine

Wang Tongqing, Mei Shan, Li Xiaobo, Liu Jiajie

School of System Engineering, National University of Defense Technology, Changsha 410073, China

Received:2018-05-30 Revised:2018-06-30 Published:2019-01-04

摘要/Abstract

摘要： 在现代船舶工业中,燃气轮机凭借其良好的总体性能,越来越成为舰船的主流动力提供装置,在燃气轮机的研发和引进过程中,对其综合性能的评估也显得越来越重要。通过运用灰靶理论在“少数据、贫信息、不确定性”的综合评估方面有较强实用性的特点,构造了舰用燃气轮机综合性能的评估模型,通过讨论灰靶算法中分辨系数的影响,提出了一种确定分辨系数取值的方法,对灰靶算法进行了改进。通过对案例的分析,验证了该方法的可行性和实用性。

关键词: 灰靶算法, 分辨系数, 舰用燃气轮机, 综合评估

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.

Key words: grey target, distinguishing coefficient, marine gas turbine, comprehensive evaluation

中图分类号:

TP391

王同庆, 梅珊, 李小波, 刘佳杰. 灰靶算法的改进及在舰用燃气轮机评估中的应用[J]. 系统仿真学报, 2018, 30(11): 4477-4484.

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.

参考文献

[1] 邓聚龙. 灰理论基础[M]. 武汉: 华中科技大学出版社, 2002: 422-454.
Deng Julong.Basis of Grey Theory [M]. Wuhan: Huazhong University of Science and Technology Press, 2002: 422-454.
[2] Liu S, Yang Y, Cao Y, et al.A summary on the research of GRA models[J]. Grey Systems (S0957-3720), 2013, 3(1): 7-15.
[3] 邓聚龙. 灰预测与灰决策[M]. 武汉: 华中科技大学出版社, 2002.
Deng Julong.Grey Prediction and Grey Decision [M]. Wuhan: Huazhong University of Science and Technology Press, 2002.
[4] 肖丁, 赵金超, 曲豪彦, 等. 舰用燃气轮机总体设计方案评估研究[J]. 船舶工程, 2011, 33(2): 37-40.
Xiao Ding, Zhao Jinchao, Qu Haoyan, et al.Research on Overall Design Scheme Evaluation of Marine Gas Turbine[J]. Ship Engineering, 2011, 33(2): 37-40.
[5] 申卯兴, 薛西锋, 张小水. 灰色关联分析中分辨系数的选取[J]. 空军工程大学学报(自然科学版), 2003, 4(1): 68-70.
Shen Maoxing, Xue Xifeng, Zhang Xiaoshui.Determination of Discrimination Coefficient in Grey Incidence Analysis[J]. Journal of Air Force Engineering University, 2003, 4(1): 68-70.
[6] 刘震宇. 灰色系统分析中存在的两个基本问题[J]. 系统工程理论与实践, 2000, 20(9): 123-124.
Liu Zhenyu.Two Problems Existing in Gray Systems Analysis[J]. Systems Engineering-Theory & Practice, 2000, 20(9): 123-124.
[7] 吕锋. 灰色系统关联度之分辨系数的研究[J]. 系统工程理论与实践, 1997, 17(6): 49-54.
Lü Feng.Research on the Identification Coefficient of Relational Grade for Grey System[J]. Systems Engineering-Theory & Practice, 1997, 17(6): 49-54.
[8] 李伟, 王超, 周绍松, 等. 最优分辨系数和主成分分析在烤烟品种综合评价中的应用[J]. 中国烟草科学, 2017, 38(2): 45-50.
Li Wei, Wang Chao, Zhou Shaosong, et al.Application of Optimal Resolution Coefficient and Principal Component Analysis in Comprehensive Evaluation of Flue-cured Tobacco Varieties[J]. Chinese Tobacco Science, 2017, 38(2): 45-50.
[9] 范凯, 吴皓莹. 灰色系统关联度中一种新的分辨系数确定方法[J]. 武汉理工大学学报, 2002, 24(7): 86-88.
Fan Kai, Wu Haiying.A new method on identification conficient of relational grade for gray system[J]. Journal of Wuhan University of Technology, 2002, 24(7): 86-88.
[10] 刘雁灵, 曹文君. CRITIC-灰色综合评判法在医疗工作质量评价中的应用[J]. 中国卫生统计, 2016, 33(6): 991-993.
Liu Yanling, Cao Wenjun.Application of CRITIC- Gray Comprehensive Evaluation Method in Quality Evaluation of Medical Work[J]. Chinese Health Statistics, 2016, 33(6): 991-993.
[11] 张可. 矩阵型灰色关联分析建模技术研究[D]. 南京: 南京航空航天大学, 2010.
Zhang Ke.Research on Matrix Grey Relational Analysis Modeling Technology[D]. Nanjing: Nanjing Aerospace University, 2010.
[12] 董彦非, 吴欣蓬, 屈高敏. 战斗机综合作战效能评估的改进灰色关联模型[J]. 飞行力学, 2017, 35(2): 92-96.
Dong Yanfei, Wu Xinpeng, Qu Gaoming.The Improved Grey Relation Model for Combined Operational Effectiveness Evaluation of Fighters[J]. Flight Dynamics. 2017, 35(2): 92-96.
[13] 尤晨. 主客观组合赋权的灰色决策模型及其在消费者决策中的运用[J]. 数学的实践与认识, 2014, 44(20): 57-63.
You Chen.Grey Decision-making Model Based on the Combinational Evaluation of Subjective and Objective Weighting Method and Its Application in Consumer Decision-making[J]. Mathematics in Practice & Theory, 2014, 44(20): 57-63.
(上接第4483页)
[14] 房亚东, 李改, 杜来红. 基于灰熵的城际轨道交通系统决策评价方法[J]. 系统工程, 2015(2): 152-158.
Fang Yadong, Li Gai, Du Laihong.Intercity Rail Transit System Decision-making Method Based on Grey Entropy[J]. Systems Engineering, 2015(2): 152-158.
[15] 侯珏, 刘芳, 陈征. 基于熵权和灰色关联分析的航道绿色水平综合评价方法[J]. 大连海事大学学报, 2016, 42(3): 56-62.
Hou Jue, Liu Fang, Chen Zheng.A comprehensive evaluation method of the waterway channel green level based on the entropy weight and gray correlation analysis[J]. Journal of Dalian Maritime University, 2016, 42(3): 56-62.
[16] Al-Hamdan Q Z, Ebaid M S Y. Modeling and Simulation of a Gas Turbine Engine for Power Generation[J]. Journal of Engineering for Gas Turbines & Power (S0742-4795), 2006, 128(2): 302-311.
[17] 翁史烈. 燃气轮机性能分析[M]. 上海: 上海交通大学出版社, 1987: 4-6.
Weng Shilie.Analysis of Gas Turbine Performance [M]. Shanghai: Shanghai Jiaotong University Press. 1987: 4-6.
[18] 马一太, 王志国, 杨昭, 等. 燃气轮机性能评价的模糊综合评判方法[J]. 中国电机工程学报, 2003, 23(9): 218-220.
Ma Yitai, Wang Zhiguo, Yang Zhao, et al.Fuzzy Comprehensive Method for Gas Turbine Evaluation[J]. Proceedings of the CSEE, 2003, 23(9): 218-220.

灰靶算法的改进及在舰用燃气轮机评估中的应用

Improvement of Grey Target Algorithm and Its Application in Assessment of Marine Gas Turbine

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