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 component that d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: BALEWSKI MARK JOSEPH, SIOREK TIMOTHY, BRADFORD JONATHAN D, RISCHAR CHARLES MARTIN, HARRIS KENDAL R, GACH MARTIN GEORGE, HALL KENWOOD H, KRETSCHMANN ROBERT J
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
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.