全文获取类型
收费全文 | 331篇 |
免费 | 93篇 |
国内免费 | 31篇 |
出版年
2024年 | 1篇 |
2023年 | 8篇 |
2022年 | 3篇 |
2021年 | 4篇 |
2020年 | 7篇 |
2019年 | 4篇 |
2018年 | 5篇 |
2017年 | 16篇 |
2016年 | 17篇 |
2015年 | 18篇 |
2014年 | 31篇 |
2013年 | 24篇 |
2012年 | 34篇 |
2011年 | 22篇 |
2010年 | 17篇 |
2009年 | 27篇 |
2008年 | 22篇 |
2007年 | 31篇 |
2006年 | 29篇 |
2005年 | 19篇 |
2004年 | 28篇 |
2003年 | 11篇 |
2002年 | 14篇 |
2001年 | 14篇 |
2000年 | 9篇 |
1999年 | 7篇 |
1998年 | 8篇 |
1997年 | 6篇 |
1996年 | 6篇 |
1995年 | 4篇 |
1994年 | 3篇 |
1993年 | 1篇 |
1992年 | 1篇 |
1991年 | 3篇 |
1990年 | 1篇 |
排序方式: 共有455条查询结果,搜索用时 31 毫秒
141.
Burn-in is the preconditioning of assemblies and the accelerated power-on tests performed on equipment subject to temperature, vibration, voltage, radiation, load, corrosion, and humidity. Burn-in techniques are widely applied to integrated circuits (IC) to enhance the component and system reliability. However, reliability prediction by burn-in at the component level, such as the one using the military (e.g., MIL-STD-280A, 756B, 217E [23–25]) and the industrial standards (e.g., the JEDEC standards), is usually not consistent with the field observations. Here, we propose system burn-in, which can remove many of the residual defects left from component and subsystem burn-in (Chien and Kuo [6]). A nonparametric model is considered because 1) the system configuration is usually very complicated, 2) the components in the system have different failure mechanisms, and 3) there is no good model for modeling incompatibility among components and subsystems (Chien and Kuo [5]; Kuo [16]). Since the cost of testing a system is high and, thus, only small samples are available, a Bayesian nonparametric approach is proposed to determine the system burn-in time. A case study using the proposed approach on MCM ASIC's shows that our model can be applied in the cases where 1) the tests and the samples are expensive, and 2) the records of previous generation of the products can provide information on the failure rate of the system under investigation. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 655–671, 1997 相似文献
142.
A queueing system characterized by the discrete batch Markovian arrival process (D-BMAP) and a probability of phase type distribution for the service time is one that arises frequently in the area of telecommunications. Under this arrival process and service time distribution we derive the waiting time distribution for three queue disciplines: first in first out (FIFO), last in first out (LIFO), and service in random order (SIRO). We also outline efficient algorithmic procedures for computing the waiting time distributions under each discipline. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 559–576, 1997 相似文献
143.
144.
针对装备使用阶段可修复件的采购优化问题,引入近似拉普拉斯需求概率分布代替正态分布,建立了采购间隔期内的备件短缺函数。根据供应链系统库存控制论,建立了可修备件的采购模型。通过对可修件周转渠道的分析,对采购短缺指标进行了修订,并给出了最优采购点和采购量的计算方法。对两种需求分布下的算例结果进行了对比和分析,结果表明:该模型得到的结果鲁棒性强、偏差小,优化过程简单,为故障率高、消耗量低的可修件采购方案的确定提供了一种新的思路。 相似文献
145.
弹簧作为引信中常用的储能源,是影响引信可靠性的重要零件,而引信失效会形成重大安全隐患。为了准确预估某引信弹簧贮存期间的可靠度变化,提出了一种基于修正Arrhenius模型的多元正态可靠性评估方法。以应力损失率和永久变形率作为性能参数,设计了恒定应力加速退化试验,获取弹簧在120℃、130℃、150℃和160℃下的退化数据,并采用Anderson-Darling统计量验证退化量的最优分布为正态分布。根据修正的Arrhenius方程,得到弹簧在贮存温度下的退化轨迹曲线。基于多元正态分布建立弹簧贮存可靠度模型,分析弹簧贮存期间的可靠度变化特点。通过与其他可靠度模型对比,该模型预估结果更准确,可为引信的视情维修提供依据。 相似文献
146.
产品往往受随机失效和耗损失效两种模式的双重影响,通过构建复合寿命分布模型来表征这类产品失效规律。在加速寿命试验下,基于极大似然估计构造了该类产品寿命参数估计的数值算法;为了验证该寿命分布是否真服从假定的复合分布,构建了常应力等效失效数据的柯尔莫哥诺夫分布检验法;最后,以电连接器这一典型产品为例进行了工程仿真试验并进行数据评估,从而验证了评估方法的正确性。 相似文献
147.
148.
149.
150.
Statistical analysis for masked system life data from Marshall‐Olkin Weibull distribution under progressive hybrid censoring
下载免费PDF全文
![点击此处可从《海军后勤学研究》网站下载免费的PDF全文](/ch/ext_images/free.gif)
This paper considers the statistical analysis of masked data in a series system, where the components are assumed to have Marshall‐Olkin Weibull distribution. Based on type‐I progressive hybrid censored and masked data, we derive the maximum likelihood estimates, approximate confidence intervals, and bootstrap confidence intervals of unknown parameters. As the maximum likelihood estimate does not exist for small sample size, Gibbs sampling is used to obtain the Bayesian estimates and Monte Carlo method is employed to construct the credible intervals based on Jefferys prior with partial information. Numerical simulations are performed to compare the performances of the proposed methods and one data set is analyzed. 相似文献