Damage detection using outlier analysis

This paper constitutes a study of a statistical method for damage detection . The lowest level of fault detection is considered so that the methods are simply required to signal deviations from normal condition; i.e., the prob lem is one of novelty detection. In this paper, the concept of discordancy from the statistical discipline of outlier analysis is used to signal devia nce from the norm. The method is demonstrated on four case studies of engin eering interest: one simulation, two pseudo-experimental and one experiment al. (C) 2000 Academic Press.