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- W367374089 abstract "This paper focuses on the development of neural-based condition-monitoring and fault-diagnosis (CMFD) systems. Specifically, we consider the impact of the limited availability of `faulty' training data in real CMFD applications. Where limited data are available we demonstrate two ways in which performance may, in some circumstances, be improved: (1) by using fewer training data made up of roughly equal numbers of,normal' and `fault' samples; or (2) by using a `duplicate-data' training algorithm." @default.
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- W367374089 date "1999-04-01" @default.
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- W367374089 title "Neural networks for condition monitoring and fault diagnosis : The effect of training data on classifier performance" @default.
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