ID 原文 译文
10334 然后,利用稀疏表示分类(sparse representationbased classification,SRC)将各故障模式下训练样本的特征向量构成超完备字典。 Then, using the sparse representation classification (sparse representationbased classification, SRC) will each fault mode of training sample feature vector over complete dictionary.
10335 为了提高故障诊断方法的自适应能力,对SRC分类器进行在线更新。 ‭In order to improve the fault diagnosis method of the adaptive ability, the SRC classifier to update online.
10336 通过求解最小1范数约束问题,获得测试样本的稀疏表示系数,再由不同故障类型的重构误差确定测试样本归属,进行传感器故障类型识别。 By solving the minimum ±1 norm constraint problem, the sparse representation coefficient of the test sample is obtained, and then the reconstruction error of different fault types determines the attribution of the test sample to identify the sensor fault type.
10337 实验结果表明,与目前其他传感器故障诊断方法比较,本文提出的方法能够更显著地提取传感器故障信号特征,故障识别率提高4%以上,达到97.‭14%。 Experimental results show that compared with other current sensor fault diagnosis methods, the proposed approach can more significantly, sensor fault signal feature extracting fault recognition rate increased by more than 4%, to 97. ‭14%.
10338 无线网络中节点的合作通过形成联盟可以有效增大系统的安全容量。 Wireless network nodes in cooperation by forming alliances can effectively increase the security capacity of the system.
10339 现有研究只是解决了联盟自身收益最大化的局部优化问题,没有从全局考虑联盟之间存在的竞争和干扰问题。 Existing research just solve the problem of local optimization to maximize the benefits of the alliance, without considering from the global alliance between competition and interference problems.
10340 文章首先基于联盟博弈理论,提出了实现物理层安全性能最大的分布式中继选择方案; ‭ This paper based on the alliance of game theory, put forward to realize the physical security performance of the largest distributed relay selection scheme;
10341 在此基础上,针对联盟之间存在的干扰和竞争问题,基于有代价的非合作博弈,提出联盟功率的优化方法; ‭ ‭On this basis, according to the problems of interference and competition between alliance, based on a price of cooperative game, the optimizing methods of union power; ‭
10342 根据优化后的联盟功率,联盟内的节点依据信道增益分配联盟的最优功率。 According to the optimized power alliance, union node according to the channel gain the optimal power allocation alliance.
10343 仿真分析和性能比较表明,所提出的方法不仅可以形成稳定的联盟,与只考虑局部最优的安全性能相比较,降低了联盟的功率消耗,且提高了联盟的安全收益。 Simulation analysis and performance comparison show that the proposed method not only can form stable alliance, and only consider the security performance of the local optimum, reduces the power consumption of the alliance, and improves the security gains.