Variance sensitive adaptive threshold-based PCA method for fault detection with experimental application.


Principal Component Analysis (PCA) is a statistical process monitoring technique that has been widely used in industrial applications. PCA methods for Fault Detection (FD) use data collected from a steady-state process to monitor T(2) and Q statistics with a fixed threshold. For the systems where transient values of the processes must be taken into account… (More)
DOI: 10.1016/j.isatra.2010.12.004



Citations per Year

Citation Velocity: 7

Averaging 7 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.