doctoralThesis
Método híbrido para detecção e diagnóstico de falhas baseado em resíduos
Fecha
2014-06-27Registro en:
MARTINS, 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.
Autor
Martins, Rodrigo Siqueira
Resumen
The 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.