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

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RESEARCH PRODUCT

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

A. O. Di Tommaso F. Filippetti Yasser Gritli Rosario Miceli C. Rossi

subject

Engineering condition monitoring Settore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici law.invention electromagnetical quantitie Wavelet Rotor law Induction motor electrical quantitie Mechanical load rotating speed Rotor (electric)Condition monitoring harmonic component Time-frequency analysi current signature analysi Transient analysi Steady-state wavelet transforms motor radial vibration signature analysis technique mechnical load unbalance Harmonic wavelet analysi motor axial vibration signature analysis technique motor vibration signature analysi Approximation method time-varying condition Vibration vibration measurement mechanical quantitie nonstationary operating condition Control theory mechanical unbalance Sensitivity (control systems)vibration signals analysi rotor imbalance wavelet transform vibration signature analysi Renewable Energy Sustainability and the Environment rotor fault business.industry fault diagnosi FFT analysi fast Fourier transform Vibration double cage induction motor load ignal processing business Induction motor

description

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. © 2013 IEEE.

year	journal	country	edition	language
2013-10-01	2013 International Conference on Renewable Energy Research and Applications (ICRERA)

https://doi.org/10.1109/icrera.2013.6749927