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介绍了一种基于模糊集合和神经网络的水雷状态识别方法 .该方法根据实际情况 ,将模糊集合和径向基函数神经网络结合起来 ,用于水雷状态的识别 .仿真结果表明 ,这种识别方法性能稳定 ,且有很高的识别精度 . 相似文献
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通过综合考察红外 可见光图像人脸识别的优缺点,利用红外温谱图进行人脸检测与识别的优势,在研究可见光和红外人脸温谱图识别技术以及两者融合技术的基础上,提出和设计了一种新的红外 可见光复合模式的人脸识别系统。初步实验结果表明,这种识别方法不论从理论上还是从实验上都是可行的,系统具有良好的识别能力。 相似文献
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基于Dempster组合规则的电子目标识别算法研究 总被引:2,自引:0,他引:2
在军事目标识别中,必须综合考虑目标的电磁辐射信息和红外图像信息,并采用有效的识别算法,才能准确识别电子目标。提出了基于Dempster组合规则的电子目标综合识别方法,完成了基于Dempster组合规则的电子目标自动识别综合处理算法研究,并进行了仿真实验,试验结果表明,该算法是可行的。 相似文献
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桅杆有限元模型一般用实测平衡张力作为纤绳的初张力,研究表明这种做法对桅杆振动特性的影响不可忽略,有必要对有限元模型中纤绳初张力进行识别。针对实测数据可能少于、恰好或多于能确定纤绳初张力所需数目等3种情况,分别给出了纤绳初张力的识别方法,并结合算例对方法进行了验证,结果表明其方法执行效率高,提高了桅杆有限元分析的准确性。 相似文献
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研究MAS在装备综合保障仿真中应用的方法与工作流程,结合实际应用系统的设计与开发,将基于Agent的离散事件仿真建模技术引入系统RMS建模与仿真研究中,开发了一个原型系统,并进行了实验验证。研究证明,基于Agent的建模与仿真方法可用于大型复杂装备综合保障系统的建模与仿真。 相似文献
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刀具状态监测技术一直是制约加工系统自动化和智能化水平提高的主要因素,本文采用模糊线性方程描述刀具状态与监测指标之间的关系,根据学习样本的可能分布和概率分布确定方程的参数,选用不同传感器信号特征组合进行对比实验,结果表明该方法可获得较高的识别率。 相似文献
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分析了传统二元逻辑应用于核动力装置部分失效技术状态评估时的局限性,概述了Mamdani模糊推理的基本技术;结合状态评估实例,提出了基于Mamdani模糊推理的核动力装置系统级的技术状态评估方法,为系统部分失效的技术状态评估提供了一种新的技术途径。 相似文献
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Reliability data obtained from life tests and degradation tests have been extensively used for purposes such as estimating product reliability and predicting warranty costs. When there is more than one candidate model, an important task is to discriminate between the models. In the literature, the model discrimination was often treated as a hypothesis test and a pairwise model discrimination procedure was carried out. Because the null distribution of the test statistic is unavailable in most cases, the large sample approximation and the bootstrap were frequently used to find the acceptance region of the test. Although these two methods are asymptotically accurate, their performance in terms of size and power is not satisfactory in small sample size. To enhance the small‐sample performance, we propose a new method to approximate the null distribution, which builds on the idea of generalized pivots. Conventionally, the generalized pivots were often used for interval estimation of a certain parameter or function of parameters in presence of nuisance parameters. In this study, we further extend the idea of generalized pivots to find the acceptance region of the model discrimination test. Through extensive simulations, we show that the proposed method performs better than the existing methods in discriminating between two lifetime distributions or two degradation models over a wide range of sample sizes. Two real examples are used to illustrate the proposed methods. 相似文献
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《防务技术》2020,16(5):1073-1087
Because of the uncertainty and subjectivity of decision makers in the complex decision-making environment, the evaluation information of alternatives given by decision makers is often fuzzy and uncertain. As a generalization of intuitionistic fuzzy set (IFSs) and Pythagoras fuzzy set (PFSs), q-rung orthopair fuzzy set (q-ROFS) is more suitable for expressing fuzzy and uncertain information. But, in actual multiple attribute decision making (MADM) problems, the weights of DMs and attributes are always completely unknown or partly known, to date, the maximizing deviation method is a good tool to deal with such issues. Thus, combine the q-ROFS and conventional maximizing deviation method, we will study the maximizing deviation method under q-ROFSs and q-RIVOFSs in this paper. Firstly, we briefly introduce the basic concept of q-rung orthopair fuzzy sets (q-ROFSs) and q-rung interval-valued orthopair fuzzy sets (q-RIVOFSs). Then, combine the maximizing deviation method with q-rung orthopair fuzzy information, we establish two new decision making models. On this basis, the proposed models are applied to MADM problems with q-rung orthopair fuzzy information. Compared with existing methods, the effectiveness and superiority of the new model are analyzed. This method can effectively solve the MADM problem whose decision information is represented by q-rung orthopair fuzzy numbers (q-ROFNs) and whose attributes are incomplete. 相似文献
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Condition monitoring and fault diagnosis is currently a very important problem in large-scale complicate power devices. Both scheme and realistic technology for monitoring system hardware and software have been present to solve the problem in this paper. The fault diagnostic model based on artificial neural network and state identification method based on fuzzy analysis are studied. 相似文献
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目标鉴别是SAR图像目标识别系统的关键环节,用以消除预筛选阶段因异常检测产生的大量虚假的感兴趣区域切片。针对目标鉴别问题,提出了一种新的目标自动鉴别方法,首先对CFAR检测的结果做基于面积特征的预鉴别处理,而后对获得的ROI目标切片提取鉴别特征,并在特征分析的基础上设定特征判决阈值,实现序贯鉴别处理。利用X波段SAR图像数据检验了上述方法,给出了鉴别输出的ROI切片。 相似文献
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本文将模糊逻辑理论引入军械装备故障诊断问题的研究,给出火炮故障诊断专家系统(FDESG)的设计方法与实现技术。通过对火炮维修专家模糊思维特点的分析,在FDESG的设计中,对模糊知识库的组织采用因果网络表示法实现的分层、分块式结构;将火炮维修专家在处理问题使用的模糊知识抽象为事实性知识和诊断性知识,并分别采取了二元组和模糊规则的表示方法;提出一种多层正反向混合模糊推理策略.以模拟专家的模糊推理过程;设计出-一组计算结论不确定性的传播函数,而且为使其表现形式易于被用户所接受,还提出一种基于Minkowski距离的语言近似方法。 相似文献
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发动机故障诊断与故障隔离是发动机健康监控领域的一大难题,但对发动机故障定位、预防灾难性事故发生及发动机维修意义重大。为了准确地确定故障发生的部位,本文针对某型液体火箭发动机,提出一种基于模糊模型的部件级故障隔离方法。首先对发动机系统进行部件的划分,然后建立各个部件的模糊模型并进行训练,最后按照设定的故障检测与隔离策略对故障进行诊断。利用两组发动机故障仿真数据对基于模糊模型部件级故障隔离方法进行验证,结果表明:本方法可以实现单一或多个部件故障隔离。 相似文献
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将模糊理论应用于基于Dirichlet先验分布的Bayes可靠性增长模型,提出了可靠性增长的模糊模型。在对Dirichlet先验分布函数研究的基础上,分析了先验参数的获取方法。针对某水冲压发动机可靠性增长试验使用Dirichlet先验分布模型进行了分析,给出了试验各阶段的先验分布和后验分布,并分析了与先验信息方差有关的参数对后验可靠度的影响。在此基础上,通过引入模糊变量,发展了模糊可靠性增长模型,得到了试验各阶段模糊可靠度。 相似文献