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This paper proposes EventCluster, a novel approach in real-time data modeling. It deploys the Rank Order Clustering (ROC) method to automatically group all existing data sensors and actuators of the system to the Key Performance Indicators of the system. EventCluster (EC) is a cause-effect relationship data clustering tool that detects the interrelationship(More)
This paper proposes a unique and novel approach for real time input variable selection (IVS) sensitivity analysis (SA) applicable to large scale complex systems. Borrowed from the EventTracker [1] principle of interrelation of causal events, it deploys the Rank Order Clustering (ROC) method to automatically group every relevant system input (e.g. sensor and(More)
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