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强背景噪声环境下,多故障特征的准确分离是滚动轴承复合故障诊断的关键与难点。针对此问题,提出了一种改进最大相关峭度解卷积的滚动轴承复合故障诊断方法。该方法基于故障信号的特点,利用最大相关峭度解卷积实现信号中的多故障特征分离,借助改进的粒子群算法对参数进行优化选取;利用互相关谱进一步突出信号中的故障特征,提高信噪比。仿真信号和实测滚动轴承内、外圈复合故障信号的分析表明,所提方法能够准确提取出滚动轴承复合故障特征,借助互相关谱的噪声抑制能力,能实现比单一MCKD方法更为有效的故障特征提取。 相似文献
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Monitoring of Huaihe DikeDeformation Caused by Mining 总被引:1,自引:1,他引:0
Based on a large number of data gathered through monitoring and surveying, this paper gives modification and calculation tormulas ot the movement and deformation of the dike slope. The variation of subsidence and horizontal movement in the dike interior is analyzed. And from the geological condition of the dike, the interrelation between the subsidence, horizontal movement and the stratum structure and the basic laws are discussed. 相似文献
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