@InCollection{EchevarriaSantCampSilv:2016:DiTiIn,
               author = "Echevarria, Lidice Camps and Santiago, Orestes Llanes and Campos 
                         Velho, Haroldo Fraga de and Silva Neto, A. J.",
                title = "Diagnosing time-dependent incipient faults",
            booktitle = "Mathematical modeling and computational intelligence in 
                         engineering applications",
            publisher = "Springer Verlag",
                 year = "2016",
               editor = "Silva Neto, A. J. and Santiago, O. L. and Silva, G. N.",
                pages = "47--62",
              address = "Berlim",
             keywords = "Model based fault diagnosis, Incipient faults, Inverse problem, 
                         Differential evolution algortihm, Particle collisium algorithm 
                         (PCA), robustness.",
             abstract = "This chapter focuses on a formulation for fault diagnosis (FDI) 
                         using an inverse problem methodology. It has been shown that this 
                         approach allows for diagnoses with adequate balance between 
                         robustness and sensitivity. The main contribution of this chapter 
                         is the expansion of this approach to include the diagnosis of 
                         time-dependent incipient faults. The FDI inverse problem is 
                         formulated as an optimization problem that is then solved with two 
                         metaheuristics: Differential Evolution and its variation 
                         Differential Evolution with Particle Collision. The proposed 
                         methodology is tested using simulated data from the Two Tanks 
                         system, which is recognized as benchmark for control and 
                         diagnosis. The results indicate that this proposal is suitable for 
                         the aforementioned diagnosis.",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                 isbn = "9783319388687",
                label = "lattes: 5142426481528206 3 EchevarriaSantCampSilv:2016:DiTiIn",
             language = "en",
           targetfile = "echevarria_diagnosing.pdf",
                  url = "http://link.springer.com/book/10.1007%2F978-3-319-38869-4",
        urlaccessdate = "28 abr. 2024"
}