The diagnosis of induction machine rotor electrical faults is studied by comparing the (a) current spectrum analysis and the (b) apparent rotor resistance estimation. The first approach is used to develop several procedures based on fault models of the machine. The experience gained in the development of such procedures is used to approach the estimation method from a theoretical point of view. Using a simplified model of faulted machine, a relationship that correlates the apparent resistance variation with the number of broken bars is obtained. By this relationship it is possible to have indication on the sensitivity of the parameter estimation approach. The superiority of the current spectrum approach over the parameter estimation approach is shown.
Broken bar detection in induction machines: comparison between current spectrum approach and parameter estimation approach / Filippetti, F.; Franceschini, G.; Tassoni, C.; Vas, P.. - 1:(1994), pp. 95-102. (Intervento presentato al convegno Proceedings of the 29th IAS Annual Meeting. Part 3 (of 3) tenutosi a Denver, CO, USA, null nel 1994).
Broken bar detection in induction machines: comparison between current spectrum approach and parameter estimation approach
Franceschini, G.;
1994
Abstract
The diagnosis of induction machine rotor electrical faults is studied by comparing the (a) current spectrum analysis and the (b) apparent rotor resistance estimation. The first approach is used to develop several procedures based on fault models of the machine. The experience gained in the development of such procedures is used to approach the estimation method from a theoretical point of view. Using a simplified model of faulted machine, a relationship that correlates the apparent resistance variation with the number of broken bars is obtained. By this relationship it is possible to have indication on the sensitivity of the parameter estimation approach. The superiority of the current spectrum approach over the parameter estimation approach is shown.Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris