[1]徐慧,燕雪峰. 基于S型曲线的模糊故障树及其应用[J].计算机技术与发展,2016,26(06):1-5.
 XU Hui,YAN Xue-feng. Fuzzy Fault Tree and Its Application Based on S Curve[J].,2016,26(06):1-5.
点击复制

 基于S型曲线的模糊故障树及其应用()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年06期
页码:
1-5
栏目:
智能、算法、系统工程
出版日期:
2016-06-10

文章信息/Info

Title:
 Fuzzy Fault Tree and Its Application Based on S Curve
文章编号:
1673-629X(2016)06-0001-05
作者:
 徐慧燕雪峰
 南京航空航天大学 计算机科学与技术学院
Author(s):
 XU HuiYAN Xue-feng
关键词:
 模糊故障树专家置信度可调参数S型曲线
Keywords:
 fuzzy fault tree expertconfidence degreeadjustable parameterS type curve
分类号:
TP391.9
文献标志码:
A
摘要:
 在传统模糊故障树模型综合评估中很少考虑专家可信度的影响,处理专家意见时很少考虑专家评估的可信度。文中提出基于置信度的S型曲线模糊数确定方法,引入专家权威性系数和一致性系数确定专家的置信度。运用概率偏差方法求解S型曲线的可调参数,基于可调参数和置信度来校准故障树基本事件的模糊失效概率,增加了基本事件模糊数确定的灵活性。以作战系统为例进行了实验,结果表明,针对同一基本事件各专家评估分歧较大,在各基本事件之间评估分布均匀的情况下,在未经置信处理之前各基本事件得到的最终失效概率波动比较明显,而经置信处理后的各失效概率趋于稳定,验证了改进的模糊故障树在模糊失效概率确定中结果更符合客观实际,增大了模糊故障树诊断的准确性。
Abstract:
 Aiming at the problem of the comprehensive evaluation of the traditional fuzzy fault tree model,the reliability of the expert e-valuation is seldom considered in the process of dealing with the expert opinion. Fuzzy number determination method based on the confi-dence degree of S type curve is proposed,introduction of the expert’ s authority coefficient and the consistency coefficient. The probability deviation method is used to get the adjustable parameters of the S type curve,and the fuzzy failure probability of the basic events for the fault tree can be calibrated based on the adjustable parameters and the confidence level. Experiments are carried out in the combat system, whose results show that the assessment of the same basic events is quite different when the assessment of the distribution of the basic e-vents is even,the final failure probability of each basic event is more obvious,and the probability of failure probability is more stable and verified that improved fuzzy fault tree is more consistent with the objective reality,and the accuracy of the fuzzy fault tree diagnosis is in-creased.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(06):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(06):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(06):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(06):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(06):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(06):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(06):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(06):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(06):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
 YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(06):47.

更新日期/Last Update: 2016-09-19