@article{upm26836, number = {1}, volume = {37}, journal = {Annual Reviews in Control}, title = {Fault isolation schemes for a class of continuous-time stochastic dynamical systems}, year = {2013}, publisher = {Elsevier}, month = {April}, pages = {43--55}, author = {Angela Castillo L{\'o}pez and Pedro Jose Zufiria Zatarain}, abstract = {In this paper a new method for fault isolation in a class of continuous-time stochastic dynamical systems is proposed. The method is framed in the context of model-based analytical redundancy, consisting in the generation of a residual signal by means of a diagnostic observer, for its posterior analysis. Once a fault has been detected, and assuming some basic a priori knowledge about the set of possible failures in the plant, the isolation task is then formulated as a type of on-line statistical classification problem. The proposed isolation scheme employs in parallel different hypotheses tests on a statistic of the residual signal, one test for each possible fault. This isolation method is characterized by deriving for the unidimensional case, a sufficient isolability condition as well as an upperbound of the probability of missed isolation. Simulation examples illustrate the applicability of the proposed scheme.}, url = {https://oa.upm.es/26836/} }