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首页> 外文期刊>Journal of Residuals Science & Technology >Generator Bearing Fault Diagnosis Based on Analytic Hierarchy Process and Binary-tree Support Vector Machine
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Generator Bearing Fault Diagnosis Based on Analytic Hierarchy Process and Binary-tree Support Vector Machine

机译:基于层次分析和二叉树支持向量机的发电机轴承故障诊断

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摘要

In order to eliminate the negative influence of CSI (Channel State Information) on the cross layer resource allocation rate under distributed wireless multi-op networks, a compensation type cross layer resource allocation scheme is designed in this paper. In the first step, the condition probability density equation for the co-existence of instantaneous CSI and old CSI is adopted for this calculation scheme in order to deduce the capacity closed-form solution based on specific SINR. Then, the calculation scheme for combining the congestion control, the channel allocation and the power control for considering old CSI is also designed in order to effectively compensate the network performance vacancy. According to the comparison and analysis of the experimental data, under the condition of relatively low complexity, this deduction scheme can strengthen the scientificity and the effectiveness of the distributed multi-hop network resources during the allocation process, thus to improve the macroscopic effectiveness of the corresponding network.
机译:为了消除CSI(Channel State Information,信道状态信息)对分布式无线多操作网络下跨层资源分配率的负面影响,设计了一种补偿型跨层资源分配方案。第一步,将瞬时CSI和旧CSI并存的条件概率密度公式用于此计算方案,以便根据特定SINR推导容量封闭形式的解决方案。然后,还设计了将拥塞控制,信道分配和考虑旧CSI的功率控制相结合的计算方案,以有效补偿网络性能空缺。通过对实验数据的比较和分析,在复杂度较低的情况下,该推导方案可以增强分配过程中分布式多跳网络资源的科学性和有效性,从而提高网络的宏观有效性。对应的网络。

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