Applying the Multivariate Lens Model to Fault Diagnosis

This chapter describes a study that investigates the application of a multivariate lens model to judgments of fault diagnosis in a dynamic, process control system. A sensitivity analysis was conducted on simulated fault diagnosis data at three levels of performance to assess the utility of the multivariate lens model. This analysis showed that parameters of the multivariate model were in fact sensitive to changes in fault diagnosis performance. However, multivariate parameters showed less sensitivity to performance changes in the experimental results because of the nature of the faults that were made and the canonical correlation procedures used to compute the parameters. This study also demonstrated the potential applicability of the multivariate lens model to a reasonably complex, dynamic environment.