Correlation of non-times series events in industrial systems

Systems and methods that correlate among disparate pieces of synchronized data, collected from an "internal" data stream ( e . g ., history data collected from an industrial unit) and an "external" data stream ( e . g ., traffic data on network services). A process trend componen...

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Hauptverfasser: BRADFORD, JONATHAN D, RISCHAR, CHARLES MARTIN, SIOREK, TIMOTHY, GACH, MARTIN GEORGE, HARRIS, KENDAL R, KRETSCHMANN, ROBERT J, HALL, KENWOOD H, BALEWSKI, MARK JOSEPH
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:Systems and methods that correlate among disparate pieces of synchronized data, collected from an "internal" data stream ( e . g ., history data collected from an industrial unit) and an "external" data stream ( e . g ., traffic data on network services). A process trend component that determines/predicts an outcome of an industrial process and facilitates diagnostics/prognostics of an industrial system. Accordingly, relations among various parameters can be discovered ( e . g ., dynamically) and proper corrective adjustments supplied to the industrial process. Such enables a tight control and short reaction time to process parameters, and for a modification thereof