| 基于改进模糊Petri网的航空保障系统易损性评估 |
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| 引用本文： | 冯麟涵,姚熊亮,张阿漫.基于改进模糊Petri网的航空保障系统易损性评估[J].船舶力学,2010,14(12):1371-1383. |
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| 作者姓名： | 冯麟涵 姚熊亮 张阿漫 |
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| 作者单位： | 海军装备研究院,北京,100161;哈尔滨工程大学船舶工程学院船舶振动与冲击实验室,哈尔滨,150001;哈尔滨工程大学船舶工程学院船舶振动与冲击实验室,哈尔滨,150001 |
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| 基金项目： | Supported by the National Natural Science Foundation of China(50779007); The Specialized Research Fund for the Doctoral Program of Higher Education of China(20070217074) |
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| 摘 要： | 提出一种基于改进模糊Petri网(FPN)的系统易损性评估模型.该模型在传统FPN基础上结合一种改进的粒子群优化算法,既能够模拟系统复杂的逻辑关系,又能够更方便地通过训练样本来确定系统中大量未知参数,摆脱对专家经验的依赖,具有优良的收敛性能.针对大型载机舰船航空保障系统的特性,建立了基于改进FPN的航保系统易损性评估模型.算例表明该方法比传统损伤树法更合理、全面,可推广用于舰船复杂系统易损性评估.
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| 关 键 词： | 航空保障系统 易损性 粒子群算法 改进模糊Petri网 评估模型 |
Vulnerability Evaluation of Aircraft Guarantee System by Improved Fuzzy Petri Net |
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| FENG Lin-han,YAO Xiong-liang,ZHANG A-man.Vulnerability Evaluation of Aircraft Guarantee System by Improved Fuzzy Petri Net[J].Journal of Ship Mechanics,2010,14(12):1371-1383. |
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| Authors: | FENG Lin-han YAO Xiong-liang ZHANG A-man |
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| Institution: | FENG Lin-han1,2,YAO Xiong-liang 2,ZHANG A-man2 (1 Naval Academy of Armament,Beijing 100161,China,2 Dept,of Naval Architecture and Ocean Eng,Harbin Engineering University,Harbin 150011,China) |
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| Abstract: | In order to apply fuzzy Petri net (FPN) to predict system vulnerability, an improved FPN model is introduced in this paper.Combining modified swarm optimization algorithm with traditional FPN,the improved FPN model is not only capable to describe complex logic relationships in sys-tem,but also to specify unknown parameters easily by training sample data with strong convergence capability, getting rid of expert or experiences. According to the characteristics of vulnerability assessment of aircraft guarantee system on board,the vulnerability evaluation model is constructed based on the improved FPN.The comparison of experiment results between the presented method and the damage tree analysis method demonstrates exhaustiveness and rationality of this model. The model would be applied to the complex ship system assessment. |
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| Keywords: | aircraft guarantee system vulnerability modified particle swarm optimization improved fuzzy Petri net assessment model |
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