in this paper, a new approach to Fault Detection and Diagnosis that is based on Correspondence Analysis is proposed. Correspondence analysis is a powerful multivariate technique based on the generalized singular value decomposition. The advantage of using correspondence analysis is that it depicts rows as well as columns as points in the dual lower dimensional vector space. Correspondence analysis has been shown to capture association between various features and events quite exoectively. in this paper, the correspondence analysis approach is used for Fault Detection and Diagnosis (FDD) and is validated on representative process systems. Copyright © 2005 IFAC.