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- W2065230517 abstract "The ability to automate and implement active prediction of a degradation process and potential failures of critical machine components is a pressing concern in modern manufacturing. The increasing prediction reliability and significant cost savings potential have stimulated the introduction of numerous artificial intelligence techniques into the manufacturing arena. The need to explore and understand the capacities of these new methods is extremely important to define their suitable application. This paper explores use of a classifier based on rough sets theory (RST). The results show very good performance over several criteria in a cutting tool wear monitoring application." @default.
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- W2065230517 date "2006-03-01" @default.
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- W2065230517 title "Exploration of Rough Sets Theory Use for Manufacturing Process Monitoring" @default.
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- W2065230517 doi "https://doi.org/10.1243/095440505x69337" @default.
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