Relationships Between Statistical and Causal Model Based Approaches to Fault Detection and Isolation

This paper examines both the fundamental and the practical differences between two common approaches to fault detection and isolation. One approach is based on causal state variable or parity relation models developed from theory or identified from plant test data. The faults are then detected and isolated using structured or directional residuals from these models. The multivariate statistical process control approaches are based on non-causal …