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The book investigates the thermal behavior of a rotating electrical machine when subjected to a mechanical failure. Linear and nonlinear system identification techniques are used to evaluate the temperature rise of the motor. Two mathematical formulations: one linear (ARMA) and one nonlinear (NARMA) were respectively chosen for the purpose of analyzing the thermal dynamics of the system. The obtained models were validated according to the procedures: k-step forward prediction, residual analysis and the statistical indexes root mean square error ("RMSE") and mean absolute percent error ("MAPE").…mehr

Produktbeschreibung
The book investigates the thermal behavior of a rotating electrical machine when subjected to a mechanical failure. Linear and nonlinear system identification techniques are used to evaluate the temperature rise of the motor. Two mathematical formulations: one linear (ARMA) and one nonlinear (NARMA) were respectively chosen for the purpose of analyzing the thermal dynamics of the system. The obtained models were validated according to the procedures: k-step forward prediction, residual analysis and the statistical indexes root mean square error ("RMSE") and mean absolute percent error ("MAPE").
Autorenporträt
Laurea: Ingegneria elettrica, Puc-Mg (1987); Specializzazione: Informatica, Puc-Mg (1989); Master: Ingegneria meccanica, Ufmg (2006); Dottorato: Ingegneria della produzione, Unimep (2021). Insegno in corsi di ingegneria dal 1987. Oggi insegno nel corso di Ingegneria dell'Automazione Industriale al Cefet-Mg.