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- W2135661400 abstract "tasks. Multivariate statistical models based on principal components are used to detect abnormal situations. Tailored to alarms, a probabilistic inference engine process the fault evidences to output the most probable diagnosis. Results from the DX 09 Diagnostic Challenge shown strong detection properties, whereas the need of further investigations in the diagnostic system." @default.
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- W2135661400 date "2009-01-01" @default.
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- W2135661400 title "FaultBuster: data driven fault detection and diagnosis for industrial systems" @default.
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