FaultBuster: data driven fault detection and diagnosis for industrial systems

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.

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