Back to Search Start Over

On-field experience with online diagnosis of large induction motors cage failures using MCSA

Authors :
Bellini, Alberto
Filippetti, Fiorenzo
Franceschini, Giovanni
Tassoni, Carla
Passaglia, Renzo
Saottini, Massimo
Tontini, Giorgio
Giovannini, Mauro
Rossi, Alessandro
Source :
IEEE Transactions on Industry Applications. July-August, 2002, Vol. 38 Issue 4, p1045, 9 p.
Publication Year :
2002

Abstract

The experience gained by ENEL Produzione (previously the Italian Electric Board) on monitoring large induction motors cage condition is reported in this paper. The diagnostic procedure is based on the motor current signature analysis and, in particular, on the two sideband current components near the frequency fundamental line that appear in the current power spectrum when a rotor bar/ring breakage occurs. According to the developed procedure, a diagnostic index obtained from these components is stored and its trend as a function of time allows for the detection of the occurrence of a failure in most cases. This event is clearly shown by the overcoming of a prefixed and triggered threshold. Moreover, machines with particular rotor magnetic structure are considered. In this case, unexpectedly high sideband components appear, even in the presence of healthy cages, and the test procedure was adapted to account for these conditions. Index Terms--Diagnostics, induction machines.

Details

ISSN :
00939994
Volume :
38
Issue :
4
Database :
Gale General OneFile
Journal :
IEEE Transactions on Industry Applications
Publication Type :
Academic Journal
Accession number :
edsgcl.90307911