ID 原文 译文
49126 因此,在航空工程实际的可靠性评估中,由于大量高可靠性产品的出现,平均秩次法的适用范围变窄。 As a result, the reliability evaluation of the engineering practice in aviation, due to the emergence of a large number of high reliability products, narrow applicable scope of the average rank method.
49127 利用屏蔽的系统寿命数据,在多重定数截尾样本下研究串联系统中部件的可靠性估计问题。 Using the data from the shielding system of life under multiple destiny truncated samples research series parts in the system reliability estimation problem.
49128 首先利用概率元分析方法,推导样本似然函数。 First using the probability analysis method, sample likelihood function is derived.
49129 然后基于样本似然函数,给出部件参数和可靠度函数的极大似然估计,同时分别在平方损失、线性指数损失和广义熵损失下,得到了部件参数和可靠度函数的Bayes估计。 Then based on the sample likelihood function, component parameters and the reliability function of maximum likelihood estimation, at the same time in square loss, linear and generalized entropy index loses, the component parameters and the reliability function of the Bayes estimation.
49130 最后通过数值仿真研究屏蔽水平和截尾因子对估计精度的影响,并对各种估计进行了比较。 Finally block level through numerical simulation and truncated factor's influence on the estimation precision, and compares the various estimates.
49131 针对现有测量矩阵的优缺点,采用具有良好相关性、随机独立性及快速计算的局部随机化哈达玛矩阵作为测量矩阵, Aiming at the advantages and disadvantages of the existing measurement matrix, has good correlation, random independence and rapid calculation of local randomization hadamard matrix as a measurement matrix,
49132 同时针对标准正交匹配追踪算法在测量过程中受扰或在稀疏信号情况下难以稳定精确重构问题,提出了一种基于局部随机化哈达玛矩阵的正交多匹配追踪算法。 and at the same time, according to standard orthogonal matching pursuit algorithm in the process of measuring the victim or stable under the condition of sparse signal is difficult to accurate reconstruction problem, put forward a kind of based on local randomized hadamard matrix orthogonal matching pursuit algorithm.
49133 该算法利用局部随机化哈达玛矩阵的结构特性,能够快速精确重构原信号。 The algorithm USES the structural characteristics of local randomization hadamard matrix, able to quickly and accurately reconstruct the original signal.
49134 仿真结果表明,测量过程中存在噪声或无噪,无论处理一维信号还是二维图像信号时,该算法性能均超过同类其他贪婪算法和凸优化基匹配法。 The simulation results show that in the process of measuring the noise or no noise, no matter one dimensional signal processing was a two-dimensional image signal, the algorithm performance than other other greedy algorithm and the convex optimization matching method.
49135 风险管理的核心在于干预风险,这需要了解风险事件间的因果关系。 The core of risk management is risk intervention, this need to understand the causal relationship between risk events.