Maitelli, Andre LaurindoMartins, Rodrigo Siqueira2015-10-012015-10-012014-06-27MARTINS, Rodrigo Siqueira. Método híbrido para detecção e diagnóstico de falhas baseado em resíduos. 2014. 76f. Tese (Doutorado em Engenharia Elétrica e de Computação) - Centro De Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2014.https://repositorio.ufrn.br/jspui/handle/123456789/19281The detection and diagnosis of faults, ie., find out how , where and why failures occur is an important area of study since man came to be replaced by machines. However, no technique studied to date can solve definitively the problem. Differences in dynamic systems, whether linear, nonlinear, variant or invariant in time, with physical or analytical redundancy, hamper research in order to obtain a unique solution . In this paper, a technique for fault detection and diagnosis (FDD) will be presented in dynamic systems using state observers in conjunction with other tools in order to create a hybrid FDD. A modified state observer is used to create a residue that allows also the detection and diagnosis of faults. A bank of faults signatures will be created using statistical tools and finally an approach using mean squared error ( MSE ) will assist in the study of the behavior of fault diagnosis even in the presence of noise . This methodology is then applied to an educational plant with coupled tanks and other with industrial instrumentation to validate the system.porAcesso AbertoDetecção e Diagnóstico de Falhas (FDD)métodos de detecção baseado em modelossistemas dinâmicos de geração de resíduoerro médio quadrático (MSE)doctoralThesisCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA