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探讨适合于序列相关数据的动态主元方法(DPCA)方法-DPCAfault1

于 2020-07-06 发布 文件大小:1KB
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说明: 为了更好地监视生产过程 ,要求短的采样时间间隔 ,因此序列相关性是实际过程数据普遍具有的特点,探讨适合于序列相关数据的动态主元方法(DPCA)方法是非常必要的。 (In order to better monitor the production process, requiring a short sampling interval, the serial correlation is the actual process data generally has the characteristics of sequence data for the dynamic principal component method (DPCA) method is very necessary.)

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DPCAfault1.m

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