基于特征选择验证的故障注入仿真可信度评估

doi:10.16182/j.issn1004731x.joss.18-0862

系统仿真学报 ›› 2020, Vol. 32 ›› Issue (8): 1567-1576.doi: 10.16182/j.issn1004731x.joss.18-0862

• 仿真模型/系统置信度评估技术 • 上一篇下一篇

基于特征选择验证的故障注入仿真可信度评估

李晟, 李玉晓

江西理工大学理学院,江西赣州 341000

收稿日期:2018-12-28 修回日期:2019-03-23 出版日期:2020-08-18 发布日期:2020-08-13
作者简介:李晟(1982-),男,湖南湘阴,博士,讲师,研究方向为复杂系统仿真及仿真可信度评估,故障诊断、复杂工业过程决策与控制。
基金资助:
国家自然科学基金重大项目(61490702),江西省教育厅科学技术研究项目(GJJ170526)

Credibility Assessment of Fault Injection Simulation Based on Feature Selective Validation

Li Sheng, Li Yuxiao

School of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China

Received:2018-12-28 Revised:2019-03-23 Online:2020-08-18 Published:2020-08-13

摘要/Abstract

摘要： 针对故障注入仿真的数据复杂、细节特征多,导致单一指标可信度评估和专家目测评估方法难以得到准确的评估结果和评估专家按照AHP方法给出的是区间互补判断矩阵,导致可信度指标的权重难以确定的问题。提出了一种基于特征选择验证FSV(Feature Selection Validation)的多指标综合可信度评估模型,通过FSV方法计算可信度指标的定量或定性的可信度值;定义了区间数的模糊度和相离度,构建了多目标优化模型计算可信度指标的权重。实例证明了方法的可行性和有效性。

关键词: 特征选择验证, 故障注入, 仿真可信度, 区间互补判断矩阵, AHP方法

Abstract: Aiming at the complexity and large number feature details of the data of fault injection simulation which lead to the difficulty for the single indicators or expert visual assessment methods to obtain the accurate assessment results, and the evaluation expert giving the interval complementary judgment matrix on the basis of AHP method which lead to the difficulty for the weights of credibility indicators to be determined, a multi-indicator comprehensive credibility assessment model based on Feature Selection Verification (FSV) is proposed. It can calculate the quantitative credibility values and the qualitative credibility values of the credibility indicators. In order to calculate the weights of credibility indicators, the concepts of interval ambiguity and interval deviation are defined, and a multi-objective optimization model is constructed. The results show the feasibility and effectiveness of the method.

Key words: FSV method, fault injection, simulation credibility, interval complementary judgment matrix, AHP method

中图分类号:

N945.16

李晟, 李玉晓. 基于特征选择验证的故障注入仿真可信度评估[J]. 系统仿真学报, 2020, 32(8): 1567-1576.

Li Sheng, Li Yuxiao. Credibility Assessment of Fault Injection Simulation Based on Feature Selective Validation[J]. Journal of System Simulation, 2020, 32(8): 1567-1576.

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基于特征选择验证的故障注入仿真可信度评估

Credibility Assessment of Fault Injection Simulation Based on Feature Selective Validation

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