Abstract
In this paper, we propose a sensorless approach for failure prognosis. The approach deals with nonlinear Multiple-Input Multiple-Output system subject to degradations. The aim of this work was to estimate online the duration before the system performance requirement is no longer met, this without adding sensors. To carry out this aim, we used a Nonlinear Unknown Input Observer to estimate relevant parameters which are able to characterize system performance and a statistical inference method which is the maximum likelihood estimation to identify the models describing the parameter dynamics. To illustrate the performances of the approach, a simulated coupled four tank system was used.
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