Use of Principal Components in Parallel Coordinates for Process Monitoring

Mark J. Nixon, Ricardo Dunia, Willy K. Wojsznis, and Thomas Edgar


Process Monitoring, Parallel Coordinates, Principal Component Analysis, Fault Detection


This work demonstrates that parallel coordinates is a recognized visualization technique suitable for process monitoring applications in industrial facilities, where a significant number of sensors are used to detect and identify abnormal operating conditions. Principal Component monitoring methods implemented in Parallel Coordinates, named PC2, permits to compare faulty events and determine the frequency of false alarms. The monitoring visualization technology presented by PC2 was successfully applied to column flooding using actual process data.

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