@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/}
}