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基于小波包和GA-LM-BP神经网络的汽轮机故障诊断 被引量:5
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作者 焦圣喜 迟警 李婉珍 《制造业自动化》 2015年第15期109-113,共5页
对火电厂汽轮机转子常见的各类振动故障进行识别与诊断,可以及时发现故障并进行维修与预防。在传统故障诊断的基础上,采用基于shannon熵的最优小波包基降噪算法对原始故障信号进行去噪,利用"小波包-能量法"提取信号不同频段... 对火电厂汽轮机转子常见的各类振动故障进行识别与诊断,可以及时发现故障并进行维修与预防。在传统故障诊断的基础上,采用基于shannon熵的最优小波包基降噪算法对原始故障信号进行去噪,利用"小波包-能量法"提取信号不同频段能量构造不同故障征兆表,并对故障特征量采用GA改进的LM-BP优化算法进行训练与识别。结果表明最优小波包基降噪效果优于硬阈值去噪,改进后的GA-LM-BP神经网络在汽轮机转子振动故障诊断精度和速度上均具有明显的改善。 展开更多
关键词 识别与诊断 最优小波包 小波包-能量法 GA-LM-BP神经网络
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IMPROVEMENT OF TCAM-BASED PACKET CLASSIFICATION ALGORITHM
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作者 Xu Zhen Zhang Jun Rui Liyang Sun Jun 《Journal of Electronics(China)》 2008年第2期239-245,共7页
The feature of Ternary Content Addressable Memories(TCAMs) makes them particularly attractive for IP address lookup and packet classification applications in a router system. However,the limitations of TCAMs impede th... The feature of Ternary Content Addressable Memories(TCAMs) makes them particularly attractive for IP address lookup and packet classification applications in a router system. However,the limitations of TCAMs impede their utilization. In this paper,the solutions for decreasing the power consumption and avoiding entry expansion in range matching are addressed. Experimental results demonstrate that the proposed techniques can make some big improvements on the performance of TCAMs in IP address lookup and packet classification. 展开更多
关键词 Packet classification Address lookup Ternary Content Addressable Memory (TCAM) Energy-efficient design
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