ID 原文 译文
49287 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 representation-based classification, SRC) will each fault mode of training sample feature vector over complete dictionary.
49288 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.
49289 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%.
49290 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。 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.
49291 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;
49292 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;
49293 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.
49294 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.
49295 针对评价信息存在模糊性、不确定性及不完备性的多方案比选问题，考虑短板指标对各方案综合评价值的影响，引入置信度的概念和变权原理，提出一种新的不确定条件下的变权-优劣势排序(dynamic-weight superiority and inferiority ranking under uncertainty，DWUSIR)方法。 Evaluation information exists fuzziness, uncertainty and incompleteness of the alternative schemes, considering the short board index for the comprehensive evaluation value of the program, the influence of the introduction of the concept of confidence level and variable weight principle, and put forward a new uncertain variable weight - under the condition of sorting the advantages and disadvantages in (dynamic - weight superiority and inferiority ranking under uncertainty, DWUSIR) method.
49296 利用带置信度结构的语言评价值表达评价信息的不完备性或专家评价的不确定性和模糊性; Use with confidence value structure of the language expression evaluation information incomplete or expert evaluation of the uncertainty and fuzziness;