This paper investigates the detectability of mechanical unbalance in double cage induction motor load using motor vibration signature analysis technique. Rotor imbalances induce specific harmonic components in electrical, electromagnetical, and mechanical quantities. Harmonic components characteristic of this category of rotor faults, issued from vibration signals analysis, are closely related to rotating speed of the rotor, which complicates its detection under non-stationary operating conditions of the motor. Firstly, experimental results were performed first under healthy and mechanical load unbalance cases, for different load levels under steady-state operating conditions to evaluate the sensitivity of motor axial vibration signature analysis (MAVSA) and motor radial vibration signature analysis (MRVSA) techniques. Secondly, and in order to overcome the limitations of the FFT analysis in time-varying conditions, a simple and effective method based on advanced use of wavelet analysis is proposed, that allows the diagnosis of mechanical load unbalance for a double cage induction machine operating under non-stationary conditions. Experimental tests were conducted for these purposes showing the effectiveness of the presented technique under time-varying operating conditions.

Gritli, Y., Di Tommaso, A.O., Miceli, R., Rossi, C., Filippetti, F. (2013). Diagnosis of mechanical unbalance for double cage induction motor load in time-varying conditions based on motor vibration signature analysis. In Proceedings of 2013 International Conference on Renewable Energy Research and Applications (ICRERA) (pp.1157-1162). Madrid : IEEE [10.1109/ICRERA.2013.6749927].

Diagnosis of mechanical unbalance for double cage induction motor load in time-varying conditions based on motor vibration signature analysis

DI TOMMASO, Antonino Oscar;MICELI, Rosario;
2013-01-01

Abstract

This paper investigates the detectability of mechanical unbalance in double cage induction motor load using motor vibration signature analysis technique. Rotor imbalances induce specific harmonic components in electrical, electromagnetical, and mechanical quantities. Harmonic components characteristic of this category of rotor faults, issued from vibration signals analysis, are closely related to rotating speed of the rotor, which complicates its detection under non-stationary operating conditions of the motor. Firstly, experimental results were performed first under healthy and mechanical load unbalance cases, for different load levels under steady-state operating conditions to evaluate the sensitivity of motor axial vibration signature analysis (MAVSA) and motor radial vibration signature analysis (MRVSA) techniques. Secondly, and in order to overcome the limitations of the FFT analysis in time-varying conditions, a simple and effective method based on advanced use of wavelet analysis is proposed, that allows the diagnosis of mechanical load unbalance for a double cage induction machine operating under non-stationary conditions. Experimental tests were conducted for these purposes showing the effectiveness of the presented technique under time-varying operating conditions.
20-ott-2013
2013 International Conference on Renewable Energy Research and Applications (ICRERA)
Madrid, Spain
20-23 Oct. 2013
2013
6
Online
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6749927&isnumber=6749720
Gritli, Y., Di Tommaso, A.O., Miceli, R., Rossi, C., Filippetti, F. (2013). Diagnosis of mechanical unbalance for double cage induction motor load in time-varying conditions based on motor vibration signature analysis. In Proceedings of 2013 International Conference on Renewable Energy Research and Applications (ICRERA) (pp.1157-1162). Madrid : IEEE [10.1109/ICRERA.2013.6749927].
Proceedings (atti dei congressi)
Gritli, Y; Di Tommaso, A O; Miceli, R; Rossi, C; Filippetti, F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/94928
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