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- W2589061346 abstract "Abstract Traditional control charts, such as Hotelling’s T 2 , are effective in detecting abnormal patterns. However, most control charts do not take into account a time-varying property in a process. In the present study, we propose a parameter-less self-organizing map-based control chart that can handle a situation in which changes occur in the distribution or parameter of the target observations. The control limits of the proposed chart are determined by estimating the empirical level of significance on the percentile using the bootstrap method. Experimental results obtained by using simulated data and actual process data from the manufacturing process for a thin-film transistor-liquid crystal display demonstrate the effectiveness and usefulness of the proposed algorithm." @default.
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- W2589061346 date "2017-04-01" @default.
- W2589061346 modified "2023-09-27" @default.
- W2589061346 title "Process control of time-varying systems using parameter-less self-organizing maps" @default.
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- W2589061346 doi "https://doi.org/10.1016/j.jprocont.2017.02.005" @default.
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