ID 原文 译文
9724 针对舰船装备复杂系统,以可修复双锅汽轮发电系统为例,开展多状态系统可靠性建模。 ‭Complex system for ship equipment, repair in a double boiler steam turbine power generation system as an example, the developing state of system reliability modeling.
9725 在此基础上,通过引入通用生产算子和通用生产函数,完成多状态复杂系统可用度、期望性能、性能失效等可靠性指标解算,并给出稳态、瞬态数值分析结果。 ‭On this basis, through the introduction of general production operator and general production function, complete state more complex system availability and expected performance, performance failure reliability index, and the steady state and transient numerical analysis results is given.
9726 研究表明,解算方法通用性强、适用范围广、计算资源依赖程度低,远优于马尔可夫直接法; ‭Study shows that the calculating method of versatility, wide applicable scope, low computing resources dependence is far superior to markov direct method;
9727 多状态模型建立合理,有效反映复杂装备系统可靠性变化规律,能为可靠性评估、装备采购及维修决策提供技术借鉴。 State model to establish more reasonable and effective reflect the reliability of complex equipment system change rule, for reliability evaluation, equipment procurement and maintenance decision-making to provide technical reference.
9728 时频分析是跳频(frequency-hopping,FH)信号检测的有力工具,但是脉冲噪声下性能严重退化,无法有效地提取跳频信号的周期、频率和跳变时刻等参数; ‭ Time-frequency analysis is the FH (frequency hopping, FH) signal detection becomes a powerful tool, but impulse noise performance under severe degradation, unable to effectively extract the frequency hopping signal parameters such as cycle, frequency and jump moments;
9729 基于分数低阶统计量和最大似然估计(maximum-likelihood,ML)的算法是改善脉冲噪声下FH信号时频分布的两类常用方法,但前者性能改善有限,后者通常对噪声的概率分布较为敏感,且计算复杂度高。 ‭Based on the fractional lower order statistics and the maximum likelihood estimation (maximum - likelihood, ML) algorithm is to improve the impulse noise of FH signal time-frequency distribution under two kinds of commonly used method, but the former performance improvement is limited, the latter usually probability distribution is more sensitive to noise, and high computational complexity.
9730 对此,提出一种基于数据可信度加权(weighting based on the data credibility,WDC)的FH信号检测方法。 In this paper, based on the data reliability weighted (weighting -based on the data credibility, WDC) of FH signal detection method.
9731 该方法基于云模型(cloud model,CM)理论,建立了数据可信度的概念,以分析脉冲噪声下接收信号的不确定性,然后在此基础上实现信号加权,改善脉冲噪声下FH信号的时频分布特征。 The method based on cloud model (cloud model, CM) theory, establish the concept of reliability data, to analyze under the impulse noise of the uncertainty of the received signal, and then on this basis to realize signal weighted, improve FH signal of time-frequency distribution characteristics under impulse noise.
9732 仿真实验证明,在稳定分布噪声中,该方法与基于分数低阶及Myriad滤波器的时频分析方法相比,能够较好地抑制脉冲噪声,获得FH信号的参数信息,具有良好的鲁棒特性。 Simulation experiments show that the stable distribution of noise, the method and based on the fractional lower order and Myriad compared the time-frequency analysis method of the filter, can well restrain impulsive noise, acquire the information of FH signal parameters, with good robust characteristic.
9733 在分析动态鲁棒性概念的基础上,提出了一种考虑级联失效的C4ISR系统结构动态鲁棒性度量方法。 Based on the analysis of the concept of dynamic robustness, this paper proposes a cascade failure of C4ISR system structure dynamic robustness measure method.