Abstract
Dynamic models are essential not only in the design of a system, but also in its automation and diagnosis of anomalies. However, any simulation approach is subject to the impact of physical equations, uncertain parameters or methodological approximations. Furthermore, the accuracy of these models also faces limits in predicting the unique manufacturing and operating conditions that the re…