DocumentCode :
85613
Title :
Vibration Transient Detection of Broken Rotor Bars by PSH Sidebands
Author :
Climente-Alarcon, Vicente ; Antonino-Daviu, J.A. ; Vedreno-Santos, Francisco ; Puche-Panadero, R.
Author_Institution :
Inst. de Ing. Energetica, Univ. Politec. de Valencia, Valencia, Spain
Volume :
49
Issue :
6
fYear :
2013
fDate :
Nov.-Dec. 2013
Firstpage :
2576
Lastpage :
2582
Abstract :
In recent years, the study of transients of induction motors for diagnosis purposes has gained strength in order to overcome some inherent problems of the classical diagnosis of such machines, which uses Fourier analysis of steady-state quantities. Novel time-frequency techniques have been applied to these transient quantities, in order to detect the characteristic evolutions of fault-related harmonic components. The detection of these patterns, which are usually specific for each type of fault, enables reliable diagnostic of the corresponding failures. In this context, most of the works hitherto developed have been based on analysis of currents. However, in some applications, vibration measurements are also available. The goal of this work is to validate the applicability of this transient-based diagnosis framework to vibration measurements. A specific time-frequency decomposition tool, the Zhao-Atlas-Marks distribution, is proposed. Experimental results prove the ability of the approach to complement the information obtained from the current analysis. This may be very useful in applications in which the diagnosis via currents is uncertain or in which vibration signals can be easily measured.
Keywords :
fault diagnosis; induction motors; rotors; time-frequency analysis; transient analysis; vibration measurement; Fourier analysis; PSH sidebands; Zhao-Atlas-Marks distribution; broken rotor bars; fault diagnosis; fault-related harmonic components; induction motors; pattern detection; principal slot harmonics; steady-state quantity; time-frequency decomposition tool; time-frequency techniques; transient-based diagnosis framework; vibration measurements; vibration signals; vibration transient detection; Amplitude modulation; Harmonic analysis; Induction motors; Rotors; Time-frequency analysis; Transient analysis; Vibrations; Fault diagnosis; frequency-domain analysis; induction motors; transient analysis; vibrations;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2013.2265872
Filename :
6522843
Link To Document :
بازگشت