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bp神经网络轴承

于 2022-03-13 发布 文件大小:1.47 kB
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轴承故障特征提取与诊断的准确性密切相关,其方法在不断改进,例如传统指标、TALAF和THIKA指标。本文采用基于粒子群优化的核主元分析特征提取方法。     确定故障特征参数。首先根据实验的数据计算出所有时频域特征参数,并算取各个特征值的均值,作为特征参数集;其次利用粒子群算法优化径向基核函数的参数;通过核主元分析特征提取方法,根据主元对特征集贡献率的大小,提取有效特征。

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