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• W2124662086 abstract "Over the past few years, several extensions of the traditional control charts have been proposed to adapt to the fuzziness inevitably existing in practical manufacturing processes. This paper proposed a fuzzy u chart to monitor the nonconformity of industrial products. A thorough evaluation of manufacturing conditions was also developed with certain categorization rules which can classify the process into four consequences, including in-control, rather in-control, rather out-of-control and out-of-control. With an empirical study of monitoring the weld discontinuities, our proposed approach can efficiently provide more sufficient and justified classification results in contrast with the traditional online processes monitoring methods." @default.
• W2124662086 created "2016-06-24" @default.
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• W2124662086 date "2014-02-01" @default.
• W2124662086 modified "2023-10-17" @default.
• W2124662086 title "Monitoring Welding Discontinuities with Fuzzy Control Chart" @default.
• W2124662086 cites W117115157 @default.
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• W2124662086 doi "https://doi.org/10.4028/www.scientific.net/amr.893.630" @default.
• W2124662086 hasPublicationYear "2014" @default.
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